{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Density Estimation with Neural ODEs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`torchdyn` allows for easy implementation of density estimation models. Continuous normalizing flows (CNFs) sidestep architectural restrictions of discrete flows, necessary to preserve tractability of Jacobian log-determinants. By means of a change of variables in continuous-depth, the determinant requirement turns into a much cheaper trace requirement. \n",
    "\n",
    "The flow is normalized by this instantaneous divergence to preserve the integral norm of the density throughout the dynamics. We refer to this excellent tutorial and survey for an in-depth introduction.\n",
    "\n",
    "This notebooks shows a regular *continuous normalizing flow* [CNF](https://arxiv.org/abs/1806.07366), implemented with a few lines of `torchdyn`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from torchdyn.core import NeuralODE\n",
    "from torchdyn.models import CNF\n",
    "from torchdyn.nn import DataControl, DepthCat, Augmenter\n",
    "from torchdyn.datasets import *\n",
    "from torchdyn.utils import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "# quick run for automated notebook validation\n",
    "dry_run = False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Data**: we use a standard N-gaussians dataset. The data is z-normalized for easier training."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x4049f15220>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = ToyDataset()\n",
    "n_samples = 1 << 14\n",
    "n_gaussians = 6 \n",
    "X, yn = data.generate(n_samples // n_gaussians, 'gaussians', n_gaussians=6, std_gaussians=0.5, radius=4, dim=2)\n",
    "X = (X - X.mean())/X.std()\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "plt.figure(figsize=(5, 5))\n",
    "plt.scatter(X[:,0], X[:,1], c='black', alpha=0.2, s=1.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.utils.data as data\n",
    "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
    "X_train = torch.Tensor(X).to(device)\n",
    "y_train = torch.LongTensor(yn).long().to(device)\n",
    "train = data.TensorDataset(X_train, y_train)\n",
    "trainloader = data.DataLoader(train, batch_size=1024, shuffle=True) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Continuous Normalizing Flow"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, we show a minimal implementation of a standard *continuous normalizing flow* (`CNF`). This exercise showcases the flexibility of `torchdyn`: a `CNF` can be defined as nothing more than a wrap for any module, handling the additional dimension dedicated to the divergence propagation during forward and backward dynamics. This approach is natural as it allows the utilization of any other `func` variant to handle the data-dynamics."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def autograd_trace(x_out, x_in, **kwargs):\n",
    "    \"\"\"Standard brute-force means of obtaining trace of the Jacobian, O(d) calls to autograd\"\"\"\n",
    "    trJ = 0.\n",
    "    for i in range(x_in.shape[1]):\n",
    "        trJ += torch.autograd.grad(x_out[:, i].sum(), x_in, allow_unused=False, create_graph=True)[0][:, i]  \n",
    "    return trJ\n",
    "\n",
    "class CNF(nn.Module):\n",
    "    def __init__(self, net, trace_estimator=None, noise_dist=None):\n",
    "        super().__init__()\n",
    "        self.net = net\n",
    "        self.trace_estimator = trace_estimator if trace_estimator is not None else autograd_trace;\n",
    "        self.noise_dist, self.noise = noise_dist, None\n",
    "            \n",
    "    def forward(self, x):   \n",
    "        with torch.set_grad_enabled(True):\n",
    "            x_in = x[:,1:].requires_grad_(True) # first dimension reserved to divergence propagation          \n",
    "            # the neural network will handle the data-dynamics here\n",
    "            x_out = self.net(x_in)\n",
    "                \n",
    "            trJ = self.trace_estimator(x_out, x_in, noise=self.noise)\n",
    "        return torch.cat([-trJ[:, None], x_out], 1) + 0*x # `+ 0*x` has the only purpose of connecting x[:, 0] to autograd graph"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The above template also lends itself to a simple `FFJORD` implementation by a simple change of `jacobian_trace`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A \"correct\" solution of the dynamics ODE is often required for CNFs for accuracy in the divergence dynamics. This suggests the use of adaptive-step solvers such as `dopri5`, `dopri8` or `adaptive heun`. However, fixed-step solvers with a fine-enough grid `t_span` can be successfully employed as well, depending on complexity of the learned flows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your vector field callable (nn.Module) should have both time `t` and state `x` as arguments, we've wrapped it for you.\n"
     ]
    }
   ],
   "source": [
    "f = nn.Sequential(\n",
    "        nn.Linear(2, 64),\n",
    "        nn.Softplus(),\n",
    "        nn.Linear(64, 64),\n",
    "        nn.Softplus(),\n",
    "        nn.Linear(64, 64),\n",
    "        nn.Softplus(),\n",
    "        nn.Linear(64, 2),\n",
    "    )\n",
    "# cnf wraps the net as with other energy models\n",
    "# default trace_estimator, when not specified, is autograd_trace\n",
    "cnf = CNF(f, trace_estimator=autograd_trace)\n",
    "nde = NeuralODE(cnf, solver='dopri5', sensitivity='adjoint', atol=1e-4, rtol=1e-4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Augmenter takes care of setting up the additional scalar dimension for the divergence dynamics.\n",
    "The `DEFunc` wrapper (implicitly defined when passing `f` to the NeuralDE) will ensure compatibility of depth-concatenation and data-control with the divergence dimension.\n",
    "\n",
    "Utilizing additional augmented dimensions is also compatible, as only the first will be used for the jacobian trace. Note that `Augmenter` concatenates augmented dimensions before (in the \"order\" sense) the input. CNFs utilize the first dimension (i.e `x[:, 0]`) to keep track of the divergence."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sequential(\n",
       "  (0): Augmenter()\n",
       "  (1): Neural ODE:\n",
       "  \t- order: 1        \n",
       "  \t- solver: DormandPrince45()\n",
       "  \t- adjoint solver: DormandPrince45()        \n",
       "  \t- tolerances: relative 0.0001 absolute 0.0001        \n",
       "  \t- adjoint tolerances: relative 0.0001 absolute 0.0001        \n",
       "  \t- num_parameters: 8642        \n",
       "  \t- NFE: 0.0\n",
       ")"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = nn.Sequential(Augmenter(augment_idx=1, augment_dims=1),\n",
    "                      nde).to(device)\n",
    "model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "CNFs require the specification of a prior distribution in latent space. We use a simple isotropic `Multivariate Normal`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from torch.distributions import MultivariateNormal, Uniform, TransformedDistribution, SigmoidTransform, Categorical\n",
    "prior = MultivariateNormal(torch.zeros(2).to(device), torch.eye(2).to(device))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Standard Learner. It is often useful to visualize samples during normalizing flow training, in order to identify issues quickly and stop runs that are not promising. For an example of how to log images using `PyTorch Lightning` and `Wandb`, refer to torchdyn's `benchmark` notebooks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pytorch_lightning as pl\n",
    "\n",
    "class Learner(pl.LightningModule):\n",
    "    def __init__(self, model:nn.Module):\n",
    "        super().__init__()\n",
    "        self.model = model\n",
    "        self.iters = 0\n",
    "        \n",
    "    def forward(self, x):\n",
    "        return self.model(x)\n",
    "    \n",
    "    def training_step(self, batch, batch_idx):\n",
    "        self.iters += 1\n",
    "        x, _ = batch \n",
    "        t, xtrJ = self.model(x)\n",
    "        logprob = prior.log_prob(xtrJ[1, :,1:]).to(x) - xtrJ[1, :,0] # logp(z_S) = logp(z_0) - \\int_0^S trJ\n",
    "        loss = -torch.mean(logprob)\n",
    "        nde.nfe = 0\n",
    "        return {'loss': loss}   \n",
    "    \n",
    "    def configure_optimizers(self):\n",
    "        return torch.optim.AdamW(self.model.parameters(), lr=2e-3, weight_decay=1e-5)\n",
    "\n",
    "    def train_dataloader(self):\n",
    "        return trainloader"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A warning: the training process can take 1 hour or more depending on hardware. Following tutorials will show how to speed up CNF training through stochastic trace estimators and / or integral regularization terms."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "GPU available: False, used: False\n",
      "TPU available: False, using: 0 TPU cores\n",
      "IPU available: False, using: 0 IPUs\n",
      "\n",
      "  | Name  | Type       | Params\n",
      "-------------------------------------\n",
      "0 | model | Sequential | 8.6 K \n",
      "-------------------------------------\n",
      "8.6 K     Trainable params\n",
      "0         Non-trainable params\n",
      "8.6 K     Total params\n",
      "0.035     Total estimated model params size (MB)\n",
      "/opt/conda/lib/python3.9/site-packages/pytorch_lightning/trainer/data_loading.py:132: UserWarning: The dataloader, train_dataloader, does not have many workers which may be a bottleneck. Consider increasing the value of the `num_workers` argument` (try 6 which is the number of cpus on this machine) in the `DataLoader` init to improve performance.\n",
      "  rank_zero_warn(\n",
      "/opt/conda/lib/python3.9/site-packages/pytorch_lightning/trainer/data_loading.py:432: UserWarning: The number of training samples (16) is smaller than the logging interval Trainer(log_every_n_steps=50). Set a lower value for log_every_n_steps if you want to see logs for the training epoch.\n",
      "  rank_zero_warn(\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "19a760d70ad64d689b0218ab2a9f1a1c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Training: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "learn = Learner(model)\n",
    "trainer = pl.Trainer(max_epochs=32)\n",
    "trainer.fit(learn);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing the Samples"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sampling from CNFs is easy: we query the prior latent normal and then pass the samples through the `z -> x` CNF flow. To reverse the flow, we flip `t_span`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "sample = prior.sample(torch.Size([1 << 10]))\n",
    "# integrating from 1 to 0\n",
    "model[1].t_span = torch.linspace(1, 0, 2)\n",
    "new_x = model(sample)[1].cpu().detach()[1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We then plot, samples, flows and density like so:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Data')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 4))\n",
    "plt.subplot(121)\n",
    "plt.scatter(new_x[:,1], new_x[:,2], s=2.3, alpha=0.2, linewidths=0.3, c='blue', edgecolors='black')\n",
    "plt.xlim(-2, 2) ; plt.ylim(-2, 2)\n",
    "plt.title('Samples')\n",
    "\n",
    "plt.subplot(122)\n",
    "plt.scatter(X[:,0], X[:,1], s=2.3, alpha=0.2, c='red',  linewidths=0.3, edgecolors='black')\n",
    "plt.xlim(-2, 2) ; plt.ylim(-2, 2)\n",
    "plt.title('Data')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also visualize the flows from prior to the input data space using the `.trajectory` method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "traj = model[1].trajectory(Augmenter(1, 1)(sample.to(device)), t_span=torch.linspace(1, 0, 100)).detach().cpu()\n",
    "sample = sample.cpu()\n",
    "traj = traj[:, :, 1:] # scrapping first dimension := jacobian trace"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x4155f4a2e0>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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itbWEadNSWLtWxsBAH+7uUlJSJpz39ZxN5hgtsTn08c7OU89RqbRERc2itnYPKpX2nGQHR1Su1UaMet2OIiSdbgBPTwVhYXZ0ulr8/ROGHSMoaCKVlVuder5crkImU5w32drtFnp6GgeTjCX4+sZ+a/r41yFxh54uCLBw4fWo1bEUFBxwaeTnCReR/4SQkZHBSy+9RG2tAblcRVJSkrO50unauIPQExIuJTbWSGysWKUp+pCr6OmpIzAwic7OimFkXlxcN2qyykFa5eWb6O1tYsqUK3j++dXk579KcvJsgoMtGI2689ZuhyYNR8oookwRFTVr2EYVFpY6IkmqVgefl+TgIP8zbWJDpyclJHgSEGCjvHwTaWl3DrtGlUqLRhNJa2uJcxOJj1/8lZLANpvF6UpJTLx82HONRh3Hj28jLm7RBdXHvyqJO6JwR/Wv41qzshaSlbXwgq3vp4KvLa1IJJIIiUSyUyKRlEskklKJRHLvhViYCxcep/dWWbLkjjNq446I0HH777Dd1dbuQaOJID5+MSAgl7vR1VWJWh3KZ5+t4+67bzxjYYtaHUxc3CIEQaCs7ANmzpxJdvbfCA1V4ubm9ZWu6Uw6uUOmOLOffKR8cb76tFYbTXi4mKAcTZZxTE9KTc3A3d2Ptraj6HR1I9YZFDRx2HrkchXt7WXnHZU7Epw2m2WU3itGdLqTF8w7Lh7v/EncQeCNjYXodHXOFg6ukXRfDxciIrcCvxME4aBEIvECDkgkks8EQSi7AMd24QLjdBsiiMQRHp6Gv38cOl0dNttx4FT3vKFyi1Yb4XQlqNWBzg6C7e2llJU1ERjYj1yuoaHBOGpfEjHxOWaQ/FpRq4MAsFrNI6Lnc7GiDdV9TyeDs3nET5cvHMRfXr5pRLHM2dbhiOQdEfWZNpS2tjK8vMI5fvyTEXZEh5wy9I5EJlOg17eOiJ7PtBar1YLR2H7GpK3VasTHJ+aC9Xeprt6BwdBFVNSscyZxh4ziWKPLX37h8LUjckEQmgVBODj4/z6gHAj7usd14dtFfv5+/vvfdRw/3uNsQ9vaetRZnu8gSq02elh07uamQaXywWo1EB2tRBCkSKVdJCT0MHasZNRpQRER0/HyCuP48Y+xWo3ExS2ip6fBmfSD8+tbPZrVDs6c3BsqX5xO5g5CdeDL1uGIqM+WLHXciSgUatrbS2lpKRmxnpiYeVRX73CSeWTkTIqL3xx2zLOtRSIBd/fAUXuQG406qqt3MHbsRV+bOB1J5PMlcZ2uhpqaXDSaSMLC0ggLS3OR+AXEBXWtSCSSaGAKMKJGWCKR3CmRSIokEklRe3v7hTytC18TQ90sK1asYO/eQueHzeHHrq3dg9GocyblwsPTiIqaRUfHMTSaCOLiLmHChCTuvPNOZsy4mMsu+xmhoZ7odLUjzidq74vp6Wmgtna3k0DtdsuwsnWp1ExCggS53HRWK5pS6XFGK+CZSH40+eJ0Qh26jvh4GUqlcdR1qNXBzmTp2cg8MnIa/v4TOHJkHS0txcN+7iA1x3nV6qAREb5jLePGMayUX3TvtCP2VBr9mg2Gnq9NnA4fem3tnnMmcaNRh17fMsKW6JJSLiwuGJFLJBI18B7wa0EQek//uSAILwiCkCoIQmpAQMCFOq0LFwBD3Sxa7QD5+e87CcXhDHHoxxUVm512Q4dG3NhYSE9PPf7+EwgOVrJ06UVER4/FZOrl0KFXRpAWiETl4RFIff1+jMYexo27FLtd4NixzRiNukHrmZy2NiM+PtYzlq2PRr5DcTYHyGiEdzqhZmRkYLcrqa62EBpqPGPTrKESy5mHMI/FbO7Fzc2HsrKNw9Y72nWc3tBLLOWXYjD0IpVKnfY8uVyFUimu22o1MTDQOmwN4gbc+bVsh6KuXYRc7kZs7IIvJXEHgVdUbKaj4zjR0Znn7Whx4dxxQYhcIpEoEEl8gyAIGy/EMV349jB0UpBO50F6+kJnFN7YWOgsmomKmuWMPBsbC9HrW1Crg4mNXQBAT08NYWHp2GwWFAolWm0EUqmCw4dfGzUCTU6+Fjc3LZWVHwMi6VosBoxGndP1cdllt/HLXy47a9m6SqXFbB4Y8bhcrsLXN/aM5DpaJH86oToSxDfeuJzbbruNSZPGAiMLq85FYtFqo5k8+SZkMjdqanZQV7d3xLlttlPunZiYeRw/vs25xszMTFav/hezZiWzevW/nBq51WpkYKADvb5+8Dh+w3qTt7WVERk58ytH5Hp9C42NRfT01OHnd+bWBA7odDVOAo+NXUB4eJqr6+E3jK+d7JRIJBLgZaBcEIR/fv0lufBtw0FWQ5NoDvIQdXKxpN3xIU5IuBSr1ciJE5+jVgcTFDSRqKhZ6HS1HDu2ifDwDIzGTtrbK7DbBYzGLg4eXEt6+l3DfNQqlRal0oOuriqMxl4CAhJoaNjPsWObmTz5RmfPksOH13+laHKo5fH0BOb+/cXk5h5jzJgyrr76/0ZYAh1WPsfrk5mZSUdHBceObaKvL4Ts7FVIpeZhpeRDJRYY3Vev1UYREzMXqVTO0aNvEBiY6Pw90eMewfHj20hKug65XIVOd3JYEnT27Cy8vZtISJgy7DpVKg0mUw89PQ1YrQPOtTssfunpK7+SnKHXt1BZuRWNJpL4+MVnJWSHft7QsJ+oqFkuN8q3iAsRkc8EbgLmSSSSw4P/Fl+A47pwAfFlcyczMzN54IEHnFGew9McFpbmLGGvrNxKY2OhM/HpiMQdZeZabRTjxl1OT08NVquZqqoK8vPzaW83YLEMUFa2aVgVqEqlJSFhMYIAVVXb8PYOx2zWMzAwXAaQyRQ0NR38ymR+uoTiyAm88cYbvPvui+zevXPEc0aL5P39Exg37nIKCz9AqTSOqpur1cG4u/tSXb1j1MjcIbFYLHrMZj1tbeXDfhYaOtW5icjlKlpbDfznP484q3DlchU+PmOGRepWqxGzuQeJREZV1cckJl7pJFyjsQeJRPKVCNVRXCQmKFPPSuJ6fYtTP3fYEV0k/u3hQrhW9giCIBEEIVkQhMmD/7ZeiMW5cGFwttL8L8PQysfx46/Czy+OysqtlJVtxGo1OqPx2to9VFfvQKXSEBu7gOPH63nnnY0UFOxn06attLf30d1dSXHxO8PIXK0OQqOJdLZWjYiYxsBAOw0NBVitRlQqLXFxi+jqqj4rkZ8pqTnazzZs2IBO14FWK8FolFJQMFziGOrtPl16UauDiIsbi1wucermKSnDqzUjIzPQaCLPuPlotdGkpt6Bt3cUu3c/4ZSWHM+XyRTU1+9j795CnnzyfXbv3sTy5b9gxYoV5OfvJzR06ggpyWw2YjB0YjL1o1YHAiIRV1V9RkTE9POWVfT6Furq8unpqSMoaOIZn+/wk584IbZYOBf93IULD1evlZ8AzpTMdBRnOAqAzkaUDkJXq4MZP/4qp45cWSnu2WFhafT01FNZuRWr1UhZWQe9vXK0WjekUhuNjU3YbFY6O8s5dGiDM1oVrYAXYzL1Ulb2Pn5+CdjtVlpbS4cVyPT1NZxxfaJG3Drqz0//WW5uLps3b0av11NS0ojNZiYion/UQdGVlZX885/3D9v4VCotCxcu5777lnDddZdx6603ExXlNuz4//53DlVVnTQ3HxrVtQPihqDVRuHh4Udh4YvodDXO53Z0eFBfv4/8/J3Y7XZCQszodC1s3PgOy5cvZ+/evej1jaNer0qlGaaP9/TUEBw86byiY52uhvLyTfT01BMTM2/USNwhowx1sTjkFBe+fbhK9H+EOL1oZGhpvlTqwfTpS+joqMRk6qWnp25wCIPoP3YUATmi4dHgkF3Gj7+KXbu2sWXLH5g4cToqVQBFRYeIj69m3DgN777rhk7Xh1ZrJThYg1odTHd3DU1NRZSX+zNlys3ONrpjx4oJ1v7+dhQKd3p66pwFMeIm4jcqGeXm5rJnz+eEh/eNutbTnyv2VZeTlhZCdXUviYmxBAUpR5Di/v3FPPHEu4SE9PHOOzt57rn1TtnJ3z+BxYt/Q11dnrNNgU5XS1lZK8uXLwcsgILVqx8ZTBa7jYhSHbKS6Cs/xLZtr/DwwxsAC0ol3HdfJpMnz+Xdd0EqNeDvD6GhnjQ2Wti/v5DJk08V/hiNPUilMiwWG52d1U5NXXxccd4kXl29A40mgtDQqaMSs17fQmtrifO9Exu7ALU62NVL/DuEi8h/ZHDIKFKpmbVrX2DNmjVkZS0ckcy0Wo3s3r2bvXtrmDEjghkzkpyJTavVhF7fMmg7PNWj5PRqxw0bNrB582Z8fGDLls9QqQRsNjnvv+/G7353A7///XVUVfUREtKDRNKITieWy9tsFsrL38fXdyyxsfORy1WMGZNFfX0BDQ0FJCZezZEj6ykv/5C0tDsG7xYG0OnqCA7WjrhWlcpASIgJT89ILr/83mHrdDzXsSlkZGTw2mvP4+uro7NThVRqpKmpY8TrmJ+fj9Uq4OenQKnUsWfP58PISa0OwmazMDDQjp9fAseObeKLLxpw3Pk0NvZz+HANsbEpVFfvICZm3ggy9/dPYPr0X7Fjx585duxltFoLGo0Pzc16CgoGCA19jV/84mZqaj5ixoxS7PZWOjtDSE2dRG/vh847qoqKrSiVatTqEHp7G5DLVc7Hz0dW6eiooK4ub9DznjHieaKMUktjYyFqdTDx8YudG62jlzhYXb3EvwO4pJUfEXJzc/nrX/+KxdJHQoIEH59+p4ySkZHOfff9moyMdKxWI7t2bWfFihWsW7eOu+66g717CwkKSnLaDB1dBY8efZujR9922g2NRh3bt29h+fLlvPfe2/T1NRMaakOhGKC93cDYsRYCAweoqupi8uTpLF06nenTLyMl5TZ6e+sRBAkymRI3Nx8OHnyZhoZCQIxQvb0jaWjYh81mQiqFzs5KrFYjanUwiYlXUlLyzrAEYn5+PnK5iYkTrbS3Kygp2TMislarg0lKup6TJ79w2gmfeebfjBkTjd0u4fjxBj755H22bn1+2HMzMjKwWt2oqpIQGmogIcFz2HEd2r1e30JfXyPR0VlERg6gVtvo7+8mLMzI1KnxREZmoFYHc/z4tlHb/Wq1kQQHJ+Hu7kVERD8WSwexsV3s3p3LoUMHeO21V4mIyCI42AN//xD+9a9nmDlzDu7u3s47p9bWYrq6aggJmYy7uxYQ9fGWloP4+487p4i8paWY4uI3cXf3HZXE9foWTp7cSWnp/wgLSxvmShGDgk/w8eknIUFy3nNHXfj6cEXkPxIMneTT0dFJaakvcrnaKaM4eqKAWDSSl7cWPz89gYFKDIZedu9eT2SkBJvNTGjoVACCg5PQaiNQqbRYrUYqK7diNg+Ql7cTlcrAuHFqmpt7qK7WExysIjhYoK/PgkIhwde3itbWMsLD02loKCAoaAKRkTOpqtqGSuVPb+9JZDIPiorWoFJ54++fQHR0JhUVH3Hs2Ae0telpaDiITPYBS5euRK0OxGLpH3bNjujaZNIDPoSFeZxRNx46dHn27Czy8yNQKjvRaNyQSLopL/8Uo/Eup5TgsGTu2fM5gYHHsduLaWkpdo7IAzFpGRk5k9LS/+HlFcb06Uu5/35/jh8fYMKEMHx9xfxDaOhUurqqOXZsMxMn/myYXCH66a+no6MCsGIwJNDdXU9jYysymSeRke28+uoLZGUZ6egwYTS2DlZy9jqvZ2CgG7lcTmNjIV5eYk9yvb4NL69gVCrNl753WlqKKSvbSFDQBMaMmTuMxB1auCi3RDJp0jLnnYXjjqC1tYSYGDtSqZTjx+3Y7W6uXuLfMlxE/iOBI6GZkKDF399MTMwY7rnnT8yZMx+jUTciKps27VreeOMAPT1WwsLkTJw4Houln/r6vbS2lmAwdBEaOhWDoZuIiBlotZFERs5ELnejpyeA3NxdSKVWYmM9GTduHMnJsQQEzOLw4UOEhvaiVBrp6KhgYKCd6Og59PQ0otFEkJBwBSUlb6BUemIy6WhqOkBh4YtkZf0f4eGpJCVdx96969i0qZExYzopLr4PlSqIGTNmjLhmR3Sdn/8Pli+/Ebm84oyvj91uG/b92LGJ+PgUUVUlYfJkGwEBXiM2AYd/vKWlmF27/kpJyTsjGl75+yeQkLCUqqpPCAlJISUlk7Fj6wkJmUpz80Gamg4SGjqVnp4A9u17k/p6HUuX/nLYMbTaKOLiFtLRUY6HRy3h4VOpr38PgwG0WjNKpRc2mwk3NysHD/6XKVNShkXkNptpMGldwoIFf8ZqNXL48GtEREz7UlllKInHxi4c9vt6fQtNTQedhV9hYanOTd1B4A6dfOnSXxMcPN/VS/w7govIfyQYntDUcs89fyIhIYDa2j0jEppWq4mAgH6eeup3lJa2k5IygTlzFgEM3oq70dhYiELhSUdHFXv3/gtf37EYDN14eYUxadJ8fvObpzh4sJTERF9CQ9UYjT0YDCdIT/cmOvpyenoaaGs7Snt7Fd3dNQQEjEOrHYNEIhAfv5TKyg9RKDwwm3uoqvqY6OjZJCZeTmTkTD777CkCA/twc5NjNvfz73//GwCpVI7R2DMsonUUyCgUSpqazs1nrlJpmT//Znp7S2lrC0SlyiMyMoHm5sOjFrH4+8cTGzuPPXteIi+vjqys20cMsrZaTRQXb2Ds2EWYzQM0Nx/E13csXV1VFBRs46mn3kcqtVJU9AWCYOGyy34zrPf7mDFZVFV9RkPDXvz8+pk/P4P2dhlwEJ3OgNEooNWCh4cUq9WEzWajtbUUP79YADZsyCY39wpuvbWfv/+9i+7uWlJT7zirrHImEndo4SdPfgFAXNwi5+sylNwdRUKneokHu3qJf0dwEfn3DF818z9adaYjwjy9xasjyTlt2jR+/vPJdHUddw5a6OmpQ60OxmTqIywsjcDA8RiNvahU3tTV5dHRUcXu3U8CEmbNGk9AQBxa7RgAuroqqanZQ3Hxm6jVAURFzUYuV9HUVERLyxF6exvw90/EatUTE3MR5eUbASlSqY0vvngcd3c/goMnEho6m4aGd7Fawd8famsLyc7+DQ89tISKiq3OhlIgukt27TpBQEAF3t6qM1oU7XbrsO/V6kCiouK48so72L3bysBAG7m5a9m4cT+zZ188YihGZ6eG/PyjqNWH+e1vP+ef/3xr2O+Eh4stBE6c+BQPjwCUSg9qa3cTHj6N6urNhIb2Ar60t1soL9/FhAkTh5GnVhvNjBm/4eOP62loKGDq1Nvx8ytBr09EpWrFaOwFutBo1Gi14UyceB179/6HGTN+hc1mJjf3Cux2GevWefHgg4WA+azvl5aWYkpK3iEkZNKwdeh0NbS0HKGp6RAhIZOJiJiOWh3s7IBZXb0Dm80yjNxd+O7hIvLvERw6N1hYu/YFXnpp3XmT+ekENPSr4xx33HEXYGHduvU8//xqUlLmOW+Zg4ImAo6orJ72drGtvEYTgcmkJzR0MvHxi7FaTdTU5A72pdYhkYiR27hxl9HTU49Od5IjR9bj4eFPWNh0urpO0NR0AL2+haCgyZjNvYSHZ1Bfn0d/fx8Wi57du//GlVe+wJw5t9LWtpvqahMyWTcpKQZ27zZRW+uGn9+pAQyO18vbW8/EiZ1MmzZ7VGKxWo2cPHmUQ4f+SWbmpc7XaLBZICqVhqNHt1Fe3kx5eQGvvPLOCNfFoUMnqarSMHlyDwkJHeza9cGIv014eBpHjhTzxRdvEBeXSmLiOBoaCpg4cRZ5efkolR3ExJiJiIilqekgNpuZ8eOvdq45ODiJCROupqDgXxw79gH+/mMJDU2lre0VgoPjaWnpRKerp62tnMDARARBAoDNNkBm5ofs3n0Ft9zSx4EDL5Oe/ivKylrJz39/RFDQ0FBIRcUm3Nw0REXNdv7tOzoqKS19B0/PYJKTb0CrjcJqNdLSUkx5+fvOdrznOg7PhW8PLiL/HmFo4U5PT4/T8naupennEh2dPrczP/89fHxanVGX46ufX9zgPMoI53F9fWPp6DhGQ4PYpdjNzYOYmPkolWrq6vI4cWIHAwOdaDShBARMJDx8Op2dldTV5eLpGYa//0S6uo7R378NjSYOq1WPWh2C0XgMs9lIff1eSkreY+LEq/H2jsfH5wCffrqakpKV+Pu/TmqqnJaW153ySn5+PkqlkcmT+wErHR2jDxYuKChg3769FBdXsm7dRtauXUtyciR6fTsqlTcJCZdx8ODb9PbC1Km95OfLyc/PH0Z+DumqutrE5Mk6vLz209FRMax3TG5uLvfe+wTe3nrCwvYSGZnOjBkpREQouOOO31BWlk9YmBeBge4oFF6cPLkdT89gYmPnO/9+48dfwbFjW1iz5mcUFd3OnDkfcsUVmzEY2gB3DIZudu9+mrlzH8Zi0WGzmensbGPu3Hv4wx/0JCaO4fPPazh2rIZ7730Cudw0zA7Y0FBIUdEaYmKyiImZ7/x719buprW1lODgSU5y1+lqOXHic8rKCqmv90ajUbF9+1suDfx7CBeRf48wfKamG5MmRWE06ka4TkaDXO6GRhN5xkjJIa9Mm5bCunUSZ3HQrFk3MH58mjNx5vjqcKnYbBY0mgh6euqdpe4aTTgBAYkAtLYWU139KUqlWPU5btxlNDQUUFb2P2QyBQEBEwgJmUpPTwNmsw6jUYbBUItO10VAQBQymRwvrxD6+pqwWDr47LOHqa/v5t13y0hN7aekZCWCIKez8xfMmFHPRx+959T6MzIyWL/+Oex2PVKpBG/v0a+9sPDAoDZvp7hYtMYlJ0eiUnnQ2XkCb+8wFAovfH11eHgIqNW2Ea4Lh3SVl7cLrXYfXV17+eiju8nKWkV09CzgVL9wf387ZrOBqqpcqqqKueWWu/Dy6mHBgosG27s20tVViVQqZ//+/2CzmYmJyXIO7pg37xHuuGM6druMXbsuY8WKt/jnP+dTWLic1NQ13HTTc9hsZux2K9nZAXz2WQUJCTls2vQA99yTRWDgJA4fPoFKZSApycKhQ+LaYmLcKS9/Dx+fGCeJt7QUU129g4GBDiZOvBatNnKwtH8bTU2H6OyU869/bWdgwEhbWyc+PgEun/j3EC4i/x7hdJ07IyMduVw1zPJ2JhiNOmc3wtOnxFitJmfCMzJSwqpVN1JVZScjI4sZM0aSuCMCj4mZN6IQSPQtl3Dy5BfYbBbM5gEkEplTbmlsLGRgoIOAgEQ8PYOoq8tHpztBePhMurq6qa4uHTyOHrt9AJXKG7lcwdatqyksvIWAgDLa28cTHBxMevodjB+fQ1nZSubP345e74vFonOOCsvMzOTppx9n//77cXf3Qa2WY7WaRuQZ0tJSOHFCQKVqxWTyxtPTE602mokTlzl15qioydjtYLP1snx5JhkZ6cNeQ8cxZ86cQ0bG79m16ykOHHiBjz/OJiPjPiZNWubciEtKdPj5QVqanP7+fiort7F48Z10d1cjlcrx9Y2nsbEAiUSGm5sP+/atpqurmtTU2wbH7qWydOlhPvxwMvPnb6etrZTCwg0IgpyiohVcdtkqzGY9ZvMAn302BUGQUVGxEo1GxR133MKiRSXcd18j+/atRhCsyOUq8vKu5uGHY1i6VMK6df6oVFpOnNhOWdm7aDQxTJ58EwCbN/+X0tLPiYmZTFbWMl555U0CAvT4+enp7BQQBAMNDW4j7lhc+G7hIvLvGc40U/PL4Ggve6bfHUrQQUET0enqBvubbBwhq6jVwfT0iL2tfX1jkcvd8POLc5J6UNBE/PzGDjm2iZMnv0CnO4lM5o6npz9hYdOoq8tFrQ5ELnent7cene4Idjt4eIBUCjqdHq1WD6jZv385IKWtLQmQ0NJyC1u2GKmoWElqag6LFv2Nvr7VI5KWU6ZMorxciUYTgM1moLBw/4gWsykpk9m3L5ja2gbc3eU888wzTJo0ieTkWARBgp9fLImJV1BXl0ds7EVUV39OdfVO4uMvAU5p8Uql0XnM+fMfQaXSkJ//dz777A/o9e2kp9/C2rVr2bBhAzt3fkB/fxcajYW2tg7273+bxMRM+vubMZv70WqjaW0txmo1IwgSKio2odGEExe3CLlcRU6Okosvnk5vbwsyWSAzZ75Ffv71pKTkYLO1YzB0Y7dbWbBgP59/nkZCQg7Hjq0E5HzyyUSWL99MVlYMfX2TuPvu25k3byx2u4TNm1OAWg4deo2TJ3eQknIHGk04en0727b9jffe20NXlwK5/BgWSx/+/s2Ehw9QXe1GSYkVb293FAqlyyf+PYOLyH9EOFsCaijBOwYpAyMi8V27trNt2wHS06cyc+ZMABobiygv3zRqh0Gl0oPIyJnExS3CaOwd9Jk3cPLkTiwWI+7uPnh5hdDT04BKFQmUI5WCXg++vtDdDT4++tOOKiAIMo4duweQUFS0kiVLfo1e34rZPDBswHB390n6+lqJi7uU7u5qiooOIZWamTDBRmmpKKOMH38lIPrI4+LcKC+3DD4ehNnchdVqIjQ0BZXKm+7uSiQSOydP7nISuUOLnzrVxLFjFudQ6Zkzf41aHUBe3tPcd5+G/fu9uPXWybz0Uia5ucvYsOF5Tp58n5iYWg4cqMVk6iQxMQs3Ny2trYcJD59Jbe0uwI7dLpCb+xcefjiKDz+cxIoVydxyy5388pcSiopuZdq0DfzlLxG8//7DrFplITf3E5Ys6UOr1Q7+HaSEhLxES8vtBAS8SlnZS0yb9jPmzhV7ra9YAc8/L2CzwU031XPrrfkkJd2Am5s3Bw++xMBANy0tcsxmgeTkfuTyfurr9zB37s2Eh19GSUk7116rpb+/36WRfw/hIvKfKE53tDj6ZaxYcS9SqZlXXpHz/POrmTlzJkFBEwkLSx31OHp9K8XFb6JQeDIw0IrdbkOpVDNmTBaengH097dz5Mjr2Gw2xoxJQi6XU1tbhlotEuvu3as5ePBuQAIIg/8kQ763IwhStmz5N8nJ++nr62XNmn+TlXULmZmZ2GxmwEht7Rekpt5FREQ87777Lj4+TahU4WRkZHD//YG88kodiYk5TJuWTX192GAJvgmTSY/VakIud8PTM5CengbGjLmIgoJnUauDmTnz107J5NgxC4mJvYSFdTjvXCZNWoZGE0V29gzsdhmvvOLJH/7wMZmZl5Cfn8/OnXmoVBaCg1vo66vg5EkZanUQvr6x1NXlodGE0dV1EpOpB5Opl02bJmK3S1izRuAf/7iWoiIv7HYZ+/YtY9GilRQViTmDnTsvJiurh/feS0AQpJSUrOCWW+S0tf0GlUrAw2MM48Zd4dywn30W1qwBm03C1q0z+ctf6ujsrKSi4iO02hhsNgGF4lMmT9ah18PJkz5ceeX/MW3aUlQqLUuXXvj3oKvJ1oWDi8hdcGLowOOODj179ryIp+dJlEoPYmLmjdpESa0OIjn5hsHvTajVgej1bZSUvIPF0o/dbsVutzJx4tX097fz/PPXs2vXUsaPz0EuhyNHxKhbhIDY/sdB6A5IKSy8h7/97U3i4l5HENbx9tvbycl5HY1G9Ev393cTHp5OeHgajzzyS0pK/s6VVz5MZmYm8+aJm0F5+UquvfYlbrjhEWfFpkOq8fdPYMqU5Wzb9nsMhi4+/vgZHn30F6Sm5vL3v+PMXcTFSTCZ9rF//xri4xcTHp5GdPQsbrutn5dfdmfWrPf4+OM/0tVVTWKiJ3a7kqoqO25ubkREBNDT00B/fyu9vbXI5e7U1/fQ09OEl1cgNpuJ9PTX2b//Zm6/3YJKpWXZsiZefz14cDP7D6mpORQVrSQgoIw//amN6OhOamp8WLKkiMhILZGRUUAdAwPx1NXZiY4+9SquWCFhzRo7S5cepqzsf3h4+COTqTh06EV6e9vw84shODiLhgYNy5Yt/UaLexxNtux2myt5egEgcUze/jaRmpoqFBUVfevndeHsWL16NY8++ihqtRw3N09nRG406qiu3jFsmIHY+a8VT89gBEFAr29ELndnwoRrnGQOIrmL/a3fx2gc4JZb3sNulyGV2hAEAUGQcyoKF5BIbKSmvkBR0Z2DP7PjiNAlEitXXaVg7FjIz/dh8eI/4ONzkJdfzqSoaCU33tjGc89J+eST32I06rn00v+g1UZz882tvP66H9Omvc6rrwY7JZOPPsrh4MEHmDr1SZYuXUlDQyEbNlyBTCbl/vtrsNtlSCRWxo6NH+bpr6nZQ2npW/T2NpGefg8aTbjThtjSUkxNzW7y8/+OVAo+PpdRU9M36MxpxtPzADZbB0ZjD6Jl0sTnn6+momIl06a9w2WX/RaJREpkZAbz5v2J4OBk5HIBm028/kceUQCwapUFQZAjldr505880GiisdsN9PX1s3+/kfZ2D7q6vJ0EqdPV0Nx8hAMHXqK/vxUPjzBqa3djs/Xh7R2GRrOQxkZPZs265Fupznz88YfYtGktXl5aamsN3H77XTzwwAPf+Hl/6JBIJAcEQRhxe+yKyF0AxAjpmWeewd1dgdls4re//a1TI3cMAh4tIh86xGBoJA5iNaVe345cLhtsuDSH669v4O23I/n5z1ux2Sy89VY4drujCadAamoOhYX3OL+Pjm4jIOB/zih040YLyck5eHg8hkzWTHHxuxQVvYEgyNmwIZj/+79t1NTs5uKL/+ls7vT73+cybtw9mM0WlMqPnNe7atWfmTWrh1Wr/oxGM5709GS8vMbT3v45SUmvUFx8C0lJLxAR0eDUxQGio2fh7z+W1tZSDh1ah8XSS0rKysH5m5FMn34PAQHjOHHiM44efROJRE9+fj9tbR4olQJZWRcD2zEY2vHwgIoKUS4pKLgWmcxKfv7PSU19kY6O65g378+sWHENa9YIhIe3sWqVBZVKhyDIAIHFiwsAEz09FchkAYANudxARoaRN954krlzZ3HddVUsXXo/HR1leHiE0NJSAhTi6RlOSspvGRgI4je/eRy53Myrr374jUXHQweYjB0rRSaTUF8/ALiSp18XLiJ3AThVKDRunDfQwYkTm3jqqT3ExMQQFxc3Ql45ncRBLHufOPFa5zGtVhNWqwmzuY/6+gIOHVrH/PmtzJtnR6FQk5a2ggcf3M+qVeN5//3x/PznLaxfv5JTUgvU1QVyyy3ZLFmS7YxCi4tX8vbbOsrKNqPVQmKiaFFMSzvAoUPrkMmkqNUhgFhyvnfvamQyJUql4PTj5+fno9H04+kJGk2/s+3q+vXFTJ8OCxbcQUTEHahUEBcHcvn71NRkOT3janUwanUwfn6xtLWV88knj9Hd3Ud0dAbz59+On18sQUETiI+/lFdffZLAwC3ExornfuWVmVRXv05kZA7z5mUzaVIOR46I7pz8/JWDNsM7AIFf//pKLr10H1brdORyUWIxGPxw3MGkps4DFIAFm60bCCUuTkdlpYL29l8AUt5+O5qkpHwslha6u4/h5hZCSspvSUy8HLU6gNWr/0NISA+RkRIOHOCCWwtPb7Ll6xvHkiW/JDBwjqvJ1gWCi8h/pDjfRJIjoVdTY8Jmc+PEiZO4udUjlx/hH/94mkmTEjl2bDMVFUepqTlOaKgvcXFTsdst6PUtTq1ZKpWjUKic0bgYISrx8YknOfnnyGRKbDYzNTW7+fTT36PTNVJb+28EIREvr1CWL+/l5Ze9nOuKjNQD8Tz33LvOKDQ1NYc337yUDz54gClTcrjkkmw0mse4+eY5VFdvZ/r03zkJt6Agh6amAsBGSspKoqJmOq/3ueeeZufO5YSHr+WRR8aRn5/PwIAUoxH27VvNoUN3AzBjxjssWvRz3nrrZ6Sk3E5MTJazGlOrjaa4uI6XXqpHpTIRGPgm3d2HCQmJITg4iYSES0lPv44//nEPUmkfoaF2qqtFsq6rW4mv769QKNTO6z2lgR+jsPAuQMJHH6Ujk9kZP15KSYlDhhKxalWf03ufmrqWJUvuISJiBj4+c+nt/ZzduxeQkpKDxdKCVOrP1KnLiIqaib9/As3NBygs3ImPTx0+PmaOHlVjNqsuWHTsGCM4tEuiq8nWNwOXRv4jRG5uLjfccANWqx43N09eeeVF5syZP8Jq6PjqiKwd5H/y5Em2b/+E6Gg3oIPZs2eyaNEiysuP8s47b+PhYcJqlXHZZVfg46Nw2gGlUhne3mFERJxqOWuzmTEYumlqKqSx8QA2mxGbzYrZPIDB0Mnq1QV0dorecanUjs0mRa9vwcsrEDHxaWfcuOecVkQQSEtbQ2HhChy6+SOPTMbfP5LOzt0EB0/i5z//HyqVlm3bHqCo6FnAikIRyHXXveEkYHG9VgRBjkRiw26XkZuby91330h6ej3r1lkGNXqQSGzk5NxIZ+cuzOZmFApf0tLu4pVXlvPOO2NISyuip+dKUlMNtLebiYxMJTQ0lICANtzdJXR1tVBYWE5np42mJnd6ev5BY+OdAKSlPed0oojX4gbYnXcfp5K+EmQygRUrJDz3nIBE4ugV43D3iK/FjBnvk59/9ZDX6jmWLHmYmJh5TJnyc0DcpCQS8PIKJz39brTacAoLD3HgQMVZN/5zCQ4c0okjr2KzWfD1jXUOcHY12fp6OJNG7iLyHyFWrFjB+vUvkZBgR6+Hiy+eyYoV9zIw0IVGEzGip4qj2MeBvXsLueuuOxCjaQlPP/04M2bM5r//fY533llPQoINm62XSZOmMHFirLPXt91uo7+/g/7+Jvr6dMhkUiwWy6CcIQF62bLlPxQViTLCkiXZPPqoI5kpEBh4ks2bP0ev72DevAdwELlEYneSmrt7JyaTFrtd/D4o6Bjt7fGkpKzhxhtXc9VVr3HxxSmUlkoIDDzK3XdPAtQsWPAYM2f+2nmNGzbcz9NPR1BcLPZx+d//YsnMzCQ3N5edO9ewZctcCgtvAyAw8BWiov6P++//Nb29ddTVfQQ0smqVybkRjBsXjLc3+Pn1EBR0ym+fkJCA0ehDbm4Z48bpEQQ7SqUb//mP3kneM2a8z759V5Ge/hoXX7wcgC1bVg/mCoY6euDuuyU8+6z4iFQqDDbOEl0+aWmvU1i4jKE32lKpjQ8+uJe6ut0IgoCbm5oZM34zmEQdOUt0NFitRnbu/Jjs7N9gt9ux25UjdHTHAIrOziq6uk4gkymcUtzp1cFngsuO+OVwJTt/YrDZJPT2ShAEAZtN5STxwMDxBAaOHxzOK5a7l5dvwmTqBUAmUxAYGMaDDy6hpqaK6OixyOWllJV1EhVlIiTEOKh9KwgJCaK9vYvW1laCgoIIDg5FIpEgkUhRKtVYrWI/EIvFiEwmx2DwoLDwbkQ74d0sXfo0bm6dmEyi5tvWNoZLL53O3XdPwt39TgwGP6RSE3a7G46o02DwHbxCO9Onv8b+/b/AbpdSVHQnjz3mR3h4GqWlwuDxkvD1TSQz82EmTVoGwD33QE6OnZSUCJYsyWbq1Gz27QsjP/+XzqrazMxMbrjhY958M4L+/iYkEhgYgN27/05pqYVjx56isfE2AgJqaW+PIiEhh9mzO/Dycgfk6PUWPDzAZAKj0cCnn/6ZvXuvoqUlh0WLslGpTCQn51BcvJIpU3K46KJsLJbVFBSspLp6Om1togMmMPCos9LVQehr1th59lkxOXzXXWJ0LkbjNpYseZHKyin09CQNvkYCqamvUF39KbNnP0hoaArAObd8cETXjY2F5Oc/S0SEDnd3b44dMzt1dMfovebmQ9TXFxAenk5i4uUUFBwgJ+fcG2y5Zn5+PbiI/EeIZcuWsXnzZnp6BnB3d+dnP7ufpKS0URthAXh4+GI2D2C3W7BazfT0NBAbG01i4ngiI2cjl7tRWLif2tomLr44m76+btLSxP7bDz74IGLVZDXTpsUzfrwEm60Ji8WC0ahDtA9KASPDveFgt9dhNmsZKg+0tSUNygoyQILdrhr8uX3wWSKpSaVWnnqqncce28f27en4+b3GPff8lbVrQ5g4MZOSEoHYWB033bSVhx+OZs0aO1dffZz//W8sdruMoqKVLFyYTUeHbFRdOD7+EjIy/stjj92Ju/sASUkDuLl1kJoK27ffhiDIaW+P4re/VaBUijKHSmUAQKEAiwW8vQHqyM//GSClrOxurr02G4AFC7KRSODQoZXIZDjllba2cThIWyTxoRBYseLUmN1nn4WtW9uoqQkkIKAMyKO3dzwOmeX11x9m+vSLcHPb4OyX7sDp0a/RqBv8e4HR2Et19Q76+hqx263IZG6kpt7Em2/WYLeLI91SUhKc7W3d3f0ICBjH1Km3oFYHs3v3bu655x6sVuGcSdkx8zMwUEVFhdnVy+U84ZJWfqQ4022q48Pq0MhP/39eXh4FBQVMmzaNlJQJVFfv4OjRA7z//npMJpBIJFx2WSahoWEcOlTB0aP78PKyIZGY8fYGmw38/d2RSFQIgg2RwCWAqKNv2bKaoqKV+PmV0dk5HonEMkjWVk7FFQ5iP/X/K65o4oMPQjml/T7LkiUiKQ4MwNatYrvb6dOPsHdvyrDXQi4XtXeJxOpMJqanv84vfrGR3t6Z56QLx8VJMBq7ePnll6isfILGxuVMn/4FEskylEozMpmEG25YyubN2Xz00RRSUtYjkQgUFt7o3JTAzowZr1NQsIyUlFcoKrp10AtuY+7cT9ix4xKGJjKHvw5wxRVN5OebaWuLBkSZZc0a0WMuldq49NIDfPiheNe9ZEklmzePG3E9DQ2FFBbu5qmn/obdbsdodOPxxx/Gx6eP1tbDWK1mpFIFQUGTGT/+cufMT5VKy86dH7Nv327GjLEREKBEJnNzdkx0SCdGo45//vN+du3ajETiR02N6awecYds89FH/yE/vxi93gOr1c0VkZ8BLo3chS/F0MEWcrmE1av/RVraFP773+f43/9eJzpahsHQS0bGOKZOTaG9fYCtW/832MUQlEoJRqOExMRLuPrqm7HZzIMl9NDaWsrx45vp7q5DpzPwzDOWEcVA48Y9Oyyp6fjq73+USy6ZxPr1dqcmvGDBJzz2WDUnTtSxZs1adu9uRtwIBGQygSVLivjzn48zadIy7rlH7DMiCAKXXlrAww8fZPLkZV9pOEJubi65uZuZNCmGKVNSOHKkmA8//AioZswYIw8/XObU709VqtpPO8rwTcXhOhEE6bCfndLIBZYsqSAvz4xO55Ba4FSx1FCIpF5Y+Bp///sc3n47mssuO8z99++lr6+Z0tI36OmppafHjlQKXV0QFTWGzMzbSExcikrlDTDMZmo09tDRcYz6+n0IgkBExHRCQiYjl6tQq4Od+nhbWxk9PfVUVh7niSfewWiUAIozkrJe38L27e/y+ONPotdL0OvtXHLJUpYtW+Yi8TPApZG78KVweMmjo92QSNrJz/8Xnp5XERVlIiDAQnW1BNCQmrqClJQ0Dh06glRaicVyDLtdh8GgRKWy4+vby9Gjb2I09iCTedDbexKbzcrYsRdTVXWQ3t7dTJmSw6FDK1GpdBgMfgQGllFR4fCQO4ILkcw7OiayY8caTgUdErZvX8g112Rx0UVPEBGxhD/8oZDCwnTsdgk2m5SPPprK1KnTKCl5n6uuSiIn548IgpTNm6djMHSzatW6YcnP0+HQ0leulPLsswyOOduJRtNFVFQZ5eXrKSmxYTYP4O6ux8NDJMWUlJwRSUqZzITN5pCIRIIPCChn6dJHBhO+Noa2JhAEGSpVFO7u3RgMPoCELVscAyxOv1sZSuQCUqmNlJQX+eiju3jrLQuCIGXTpmQmTxbvUtzdQ/H0TGLnzoZBq6Ub11yzihkzxGYqen0rcrkbOl0d1dU76O2tpb+/g+DgqUyZcgsqlcaZwDQadeh0NbS3l1NXl4enZzDjxl1KUtJ1RERc5rwjBHjyySeH3fnodDVUV+/gyJEiBgYgKMgbs7mfMWPGuEj8K8AVkX8D+KFm30eLyGfPzsJqNbJt26uUlOwhLMyDsLBQGhrq2bx5MyaTic5OsFrdSE+fxbx5Mxk3Lh4As7mf2trdlJZuAvoA2LLlvxQVrSA19UOWLHkFUAG7gdZRnBoODJdZxDL+nEFpRUZy8i0sXPgXAFasMPH22xFcdFEuM2deg9XawXPPHRmiN0ucEe+BAyu54w4bOTli//Z77hGTiStWSMnJsTlbCfzpT9kEBJygvT0PGADUzusBMBpFSenTT1dTXDwywh56d+GI0odG5Kekl6Ee8aFundFfh+G/Lz726KNS5PJgrNZkXn31VmpqruHyy49w//17USo9nF0eb71VwaZNwSxefJx16yQYjb1UVm6lsXEfcrn7YLtiUV6Ry92GjXdzjIWrrd1NX18zkZEZzgT66Xc5Q99ToODFF59nypQ4amv34ObmxZEjB3nhhedobFS5JJVzgEta+ZYw9I0rlcrOe+7mdw3HJuTp6TmsZenQ8mqAZ575D+vW/ZukJANaLSiVEBLigVLphd1uwW63IwgCcrmM2NgF+PuPRypVsGDB/YMEaSchQY0g/I2KilPkFxBwfNC1MTzSFAnR8X8ICqpk1arltLTkDz4eBqSQlfU75+stJuM2M2/egwzdBBIScpxl8RKJlYEB/WCUKWrpYlT7/KDDBsaPf45LLsmmqwsCAkAuF68XNHh6jqWs7AAyGbz8ssV5zAcfVPDJJ6s5dGglSqUOk8mPwMCjREXlDmr0ouNmqFfc3b1zSNWmHX//Ejo6Tm1AQ/vODPWOD90IHn1UitkMH34o5gyk0hf4979tZGdnD/s7O/q3SKU2XnghC4lEgdXqTXNzANOnz2fatGkjiFmcbtRKa2sxJ05sJyZmHuHh6Wcdwvzkk0+ybt2zhIV50tys54YbFnHZZVmEhYnJ18bGQlpaFBw6dPIHF/h8F/hGpRWJRLIWuBRoEwRh4oU45g8Vo83dHDpt5vteEJGZmcmRI0d49NFHcXdXDHMdDF377NkX89xzr7JzpwGlEgIC/Hj88UeYNGkKZnMfen0LNpsFm82CUunBnj1P8cYbf8BulyCRCKjVLzF9uoF16xxuDVH7dVjvREhO04tPPd7aGk97exWzZj3KgQPv0tVViiA08vjjO3nooR3k50/lkkukREc/hCN6DQw8yu23TwJg40acQyueeurXuLn9haysTLZvT2fBgp1kZGQ7nSTl5SuZNi2bkBCw26G9HcLCEgkOVtPSUkNQEEgkp6oyU1NzUColjBlzL62t0NS0kvj4Z1m06FdERUXws589gcHQj90+MOwO5JS1UsDfv4TOzvEMjb4DA0vo7IzDZlMhkYje/dTUHGprM2lrS8Lf/yhmMSVBaak4ZEIQ7uSLL1JYtGgsMpkSNzdvwsPTnJ0Qr722loyM31FScpSnnnoOvV7G66/vGPybRwOilq3Xt1FVtY329lICAyeRnn43/v7xX/p+njQpjLAwIzbbAGFhEiZOnEBQUDI9PfXo9S1ERc1i0qRoFi0633eqC0NxQSJyiUSSCeiB186FyH8qEblYTPMAyckTAAYn7cQ7XSLfx0nkubm5XHnllRgM3YSFSZBIfLj55ju5995fDfs9q9VIYeEh/ve/dwC46qorSEmZDEBNzS4OHHgZg6EbQbBjs1kwmYz88Y+NzgKaiIhQMjLa+OCDdoxGP2QyI4KgHGygdUpfDgw8xt13jx9WODRcYlnHkiU7ycvbRHR0PwoFPP/80ETqqYSjVGpn4kSxpF8mg44Of0JDOzCbobkZKisDWLiwnfj4a6msfIdPPtlAQcG1REfncP312bS0QHU1uLt7Mn26GuhhYMCIfDAcUipBo4ln0qSbiYycxttvv8L//d86Z5SemvoaRUW/GFJSnwMoKSy8fcgrO/TO43QtfHhEnpb27OBmcypJ+uCDCiwW2L5dvBtIThYlKKXSE6lUibe3LxkZf0Cp9KSg4FksFrGjZUdHK7W1rRiNfhw8qOLmm+/kjjuuxWjspazsHfr6WggISCI+/mK02jPPhh36/ujoqKSsbCP19d3U1NQyceIMZs68hKamIjSaSIKCJqJWB5/Du9IFB75xaUUikUQDm3/qRA7DNfKh0bjjzW0y9aLXtxAbu2DYB+L7EK0/+eST/Pe//8bdvZ2oKDs+PhKysi4iLCzC+Tuik6EfNzcV/f29gG3QoSIOdBYEMwZDOzabFUGwI5XKycj4HatXX8obb4SwdGkTBkMkLS3PDOlHLvDBB3dxxRXPMVxXtiOVCkgk5sGEIZwuLTzyiILcXB9aW91RKtvp7/8XlZV3D3u+3S7BQXa//rU/O3f+hSNHVjJmTA7XXZeNIMD+/d5kZobi5taFydQGuLFnjwkPD/D3h7175YwdG0BKSjfizazeGQE3N0NU1BLuv389dXV7OXz4daqrd7Jx46MUFd1Gauopu6Fj7VKplT/9SSzJB1EOOXhwpGtn6DU75Bd39y6MRs0wacbf/yh33jkJkwnKy8WRevX1Ui65ZBk33HADNpuZysrNVFd/hkymIinpF8TFLUQud+PAgUIefPBRlEozdruc3/72eiSSChQKb8aNW0JoaCpqddA5BR9Go46aml00NBTi4eGP0agjOfkGrFYTra3FuLv7EhmZMeqxfqj5pW8L3zmRSySSO4E7ASIjI1Nqa2svyHm/S3yVN51DYxYz/nXObnyOaF38/7mVNF+I9Yx2jOXLl2M06gEjv/71bUyYYMdkEsex2e1WjMZeFAo3TKYBbDYTdrsNm60fqVSBzWZCLndn+vR78fEZM3jNpmEFKVu2/Jo//WnsMNKSyUwcPvwRy5e3OptGtbU5pIWhxCYmAYdGtQ4/Ocxh+/b/sHv3eNzcjmMyxTFt2gYWL76bnTvXk5u7lJSUF1iy5AlWrTrpjJR/9jMFcXFw4ABkZd2JyfQugtANwMcf+6PVSqiq6kYqlbJwoRmpVCR2gMZGqK9XUVsbyLPPvoRSWUpe3t+xWo0EBo6nv78Zo9GA0djo9NAHBFTQ1pYIQGBgifM65s7NZsuW1ZSXiz57UR8fjdQF0tKeBzwpKrpxWET+hz8oqK6Gd9+FMWO8kEoDhyUQjUYdLS0lyOVuBAcn0dJy1DkhKS9vM8eOvYKbm5Lo6BTS0u7Ezy8WtTqY/Pz95/Te0utbaGo6SHt7BUqlJzKZnMjImVitJqqqPmHcuMvRaqNGfX+fnhh1JT5H4jsn8qH4MUTkpyc1f/nLXzIwYD6vkuS8vF1Mnz6d2bNnY7UaaWk5SlfXcfz84ggKEpNcp49iO9OH6UJ+CE4/j6MM24GhTbdOPSaSgaOBlmPQwun46KNfcvjwazzySNcIH3lV1Q7Wr18AgEQSxaOPVp3WOEpg6tTnWLgwG3f30df+5z9bnQMh3n33H8yceQnbtj1MfX0uPj5jkMmUtLYeYP36ZzhxYiWTJ+eQlfVnzOZ2FAooLtYye7YesUBJxkcfBdLbK6ezs5+gIIH587vx9GTw/FomTnyA48cF0tKS0Os/oqJiC+7u3iiVaiQSgebmEkCs+Ozrg5YWseIzJ+d0H724QSUn5yCRwJEjK3Fz02E0+qFSdWI0OpKgDpzypgcG1tPeHkZqag6zZmWjVMKOHTJ8fRfw0EMPnfF9cPPNraxf70d6+nquuWYVanUQGRm/w98/AZXK29mH5VzfWx0dFZw8+QUGQw9WqwEvr2DnLNeqqk8YO/bis7YHePLJJ1m79jkiIjxGDJtwReoiXD7yC4yhSc3Ozjaef/5RBEHDmjXPcNFFF3H99TeesUXn0A/Gyy+/6vxghIenERwsEriD1DWaSFQqb8rKGrnnnt8BVtaty+H5519k9uzZTqJ3rCciwpPm5j5nknX37t3n3fPZ0W/Ega+rYzqKaHx8Sujs3I1U6u5MDEqlFmw2FR4evTQ2Kjh8WMb48TZMplpSU1+kqOiOIRGnjeRkUQYxmcDNbeS5kpOf58iRlXh6VnDttfcRG9tPdfUmsrI+YcGC2/DzG4uv73huvPEPwFNAAwBHjoh9x48de5wdO+5k/PgcsrKyuf76G7BaA/D09GTDhsdRKEAmE891xRX/pacngmPHPmHVKht79vyXOXMWsGzZf7Db7TQ35w1ZWRAlJb3ExBjQaGDy5BwOH16Jr28ZXV2iVdHRax1AEORO8ha/DoVjYxP19La2SB59VIpanUZHB5SVSenqiubvfz8ziQNs2BCI3S6hsPAXvPvuhMEofSTROoZPh4crqa62jFo+39JSTFnZRrTaSDSaMMxm/XmROEBaWhLvv2+lr0+HVOrh9KAP/by4+rCMDumX/4oLo0F8kymorTXQ1AQmk4rISAv+/i2Ulb3JH/94I9u2ve1sPjQUQ0lXKjWTl7fL+TsOy1d4eBrjx19FVNQsNJpI9u17Ez8/PePH24iI6CE391Vqa/eg17dgtRqZNi0FUNDc3Ed4uIGoqH4++ug5HnjgZl577b/cfbe4ntPX8k3D0Rq2uvppXn55MatW6Vi9esegu2MNdrsCkaw8yc/P58SJQNrbRZKeOPH3ZGcrmDr1OSQSK5Mn5yCRhFBVBVYr9PSMPN+iRdn8+tcK+vsTsNtlHD/uhc0mZceORURFZdLdfQI3N2/c3HxwdxcIDp4OQHn5ap5+2kJjo+hUKStbicUCAwMWHnjgAW699Rpmzxb7qthsUFDgQW5uF3fe+QuKi59gz57FCIKcXbuuoLi4dAiJS9FoZtLUFE5kpAEvL7EPy0UXZXPPPQouu2wSjzziTVqaeI3Tpr3DlCk5SCRW/PyOMlxWsQN2pkx5lsDAEhyELhkM1D08QpFKITh45jmR3YoVjta40sEgYnSinTBBS2KiDl/fZlQqYURfmpaWYkpK3sHTM4CBgU4niVutJioqPjonEjcadURHu/HQQw9yxRV3Om27ubm5/PWvf8Vi6SMqyh2wOIeAuHAKF8p++CYwF/CXSCQNwCOCILx8IY79fUVmZqZzIK+npyfPPPMMxcUdDAxImDrVH622l337/oO3dzP+/gkEBCQ6te9p01J46SUFjY16tFob48draWwsBCAoKMkZZTuSQWp1MBkZN7Nhw37sdgNKpZLYWD9aW4/S0nIUX98xREaqef75pyksPERa2hRmz87in//8J1KplUmT7NjtOt5/P5uurmIWLvzF4HHPLXn1dSB+6GyAmsOHxeKXtrYJgISiohUkJuZQXr6S+PgcPD09GRjwoLJSi1qtIyqqnyNHpGRlZXPxxdl89tlq1q2rIyzsZTw9f4+7ex8azfDz9faCWg0TJuRQWrqSsLBGmprCmDVrI9HRmUgkcPLkdnx8EmhvL0UqlQMqp69clDisJCTkYLdDSopoV1yz5l8MDDTg7Q01NVBaqsZu34K/fx9hYZCUlMPRoyuJjs5BLu9y3jF88cUn7NqVxcSJOcybdwCb6BqkrU0sJNJqAQwsWfII2dnbqa7eDFiZNUtsqrV7t+g+mTIlh4yMbHbvXj34OjrcPQILF34GyNi8+VMmToTy8vJz+ts8+yw8++zpxVfDceLEdozG3SxatJDm5hDuvvv6YRtES0sxpaWic6m/vwMPDz8nidfV5REUNBF///iznsNo1NHYWERPTx3z51/D5ZeLd4COSNxu70Uiaaez04JUqnWNhRsFroKgC4Tc3Fw2bNjA5s2bcXeXo1TCv/71N8aM8aK9vQK9vhFBEMnT3z+ekyd7OXToONOmTXPOxmxtPTrsmENJ3aGRO3T1GTPSMBp1HDu2GUGwIggCVqsFmUxBcHASQUETKSg4wD333IPZPEBvbzsJCWrCwuzMnDkJb28VY8YsIDo6E602fNSqvAv1uixfvhy1uh+T6WEqKhyJPDGVMnbsc1x7bTY2G7i7/5zDh//Gpk0hzJ79CfPmXY5UGobdLgB1zmELEomVrCw/+vvdueIKTyyWbuz2XgYGbNhsYhMtHx/RDqhURhIcHM+rr65g9+4ruPzyEhYv/iV9fc34+k6goWEXEkkI7733S6dd78orHwbkyGQe3H77Fiorddx1VxaLFtmxWGDrVmhv9+LPf/4DhYWPEhBgY2AA6uogJkbcSKxW0GimsWrVHuea77tPgcEA/f2iyyU8HLy8QKNRMm7c1VRWbsZu70MmC8Rm60KvtyKRiN0UlUqor4e1a4cPnAgMPMq9916ExeLBli16UlPbyc8P5vrr7/3aw4wrKz9m797/4OMTTnp69oiouqOjgoMHXyE4OImBAR1lZftobAwgNXUKbm4nCAmZzJgxc8/6vrJajdTW7hlM9scNk/FWrFjBp5++QVycJx0dJoKDp/DAA4/+pGUVl0b+DcOhK5+elLFajURGZjibD1VUbKWq6jPM5h4yM5Px97dSU7OL4OBJzgQniKQ+lNiDgpJIT08mIyN9WMQ+efKNAMNI3WDo5siRN1Gp4LHHbmfdus8oLwdPTzU9PZ3odHLCwyPp7a3n009/i4dHAOHhM4mOzkStDhg1Uv8qySbHc+69914OHfo9ISHZgOgweeIJkZBOnFgJiNH24cN3OX3ke/YsYtmyaTQ3FxEZOReJZOKwgpukpF4CAhZz1VW/YOfOP9HSUopOZ8DdXUxEtreL9juzuQ6Qsnv3ldjtMjZtmsg99yyktHQDAwNNeHkF093djNV6at21tXoCAiR4e3sNujl24etrx2AQXSotLTB//lwWLEigp0cL2PDxGYfVug+lEnQ6aGyUMn++jdTUlykquo3k5Bz6+yEwcAw9PTaCgurw8hILjGACJ0/uxG7vQyLxQyYTsNkE1KcmwPH55xvIy7t2RPl/R8d4rNYB4uNv4/XX3yY/X4Ze7/m1o9aamj3s2fN3tNpIZLLprFu3lYwMHSDeZaWlJSGTHUEQbEilSoqLPycnZz9Go4Tc3FdZuPAKrFY7s2b5nvX9otPVOq24Q0k8NzeXXbveJyZGT22tHrM5mH//+6dN4meDKyL/luHQzI3GHrq6TtDaWkJr6xE8PQOJiMhALlcSHDxpmAWxtVW0iDnmHoaFiRvy6TbFoTMSW1tLsFgG0OvbaGnp5p13PqK3V47BoOSJJ54gIsKNhob92O1WDIZOzGYTOt1xlEpvoqJmExk5k9DQKcjlKvbvL2b58uVIpWakUiNz5ixl2bKbh32oTid6RySuVBqZPr2RkBAxCj10aDVHjpxqYxsTk8Pixdn8978Wp7QhlcKMGRt4+OEjPPXUNHJzryQwsIa2tmimTMnh4ouzsVhAr4cZM35LRsZiPvzw9xw/fgijUYyId+1azdGjYoR90UXZfPHFyxQV/YLp09dzxx0bCA1Nobj4dXx9x9PQsJ9VqzqdkfMttyjQakVCvuaa1ygvP0Zh4V85dEiMit3d/diw4VlKS5+mr68SD49I4uNncfjwy/T32zAaxxIfH8XAQAmCIHG2DtZokpg4cSGlpV9w8mQevb3Q0ODN3Ln+fPDBb5ztdS+55NSUIHHjOuVBd/jmHf1jgoIquf/+izl8eB/r1weQnn6Ip57qH/a3ufHGet58M5SVK2XO6UJng17fwocf/hKTSYev7+X87nfPABYMBnG38/SUodVauO22NKZPv47a2t0cOmRnw4ZPmDTJgMGgp6xMgVyuHTZN6PT3SEdHBceObWLcuMtHuJz+8pc/kJf3PFqtwN69sGjRMtasWXPWdf8UnC2uXivfQzh6l+j1rbS3l9PRUUlr6xFUKl+02ki02min/1ql0mK1GunsPP6lpD60L0pt7W4aGvbT2trHyZNthIZKSU7OIipq9uDz3Cgr20RPT/WgP9yTzs5K+voaCA6egq/vWPbubeP99z8mONiCl1cnbW1S+vuDWLXqMebMWcLBg5VO0vb1NbNixU1UVx+lsPALTpz4JxUVK0lKyqGlJZu2NgvgICR/tmx5nKKiFU6rnVZ7FLu9CL3+ZmbMeJO9e2/AbheHLjsKgH71KwVSqegeUauVLFjwFFFRM/ngg9/T2VkOSFi1qsFJfL/6lYJecQASUVHueHr6k5h4OW1tJ+jqKkWtDuLll2+nqGg5Y8bksHRpNmazKIGoVNeQl7eP5OQGvvhCRWrqAu677z7a2/fyxRcPMDAADQ1ezJqlxG634uOTTHe3JwpFKTKZDaPRgEqlJDx8Bv7+sZjNRo4efRNQY7HMwMvrBH19B1i1yuyUTKZMeZbp07OdFkWxKnTNYLMx0Tc/VGZ65ZXfsXz5v7DbpchkdqxW0cMgjq17jlWr1jv7nttssi99X+7b9yx79z7NnDmP8OmnraxfvxqtVsLhwx3I5TBrlhUfHxg79jqysiYhlUowmcbz2GM3k5DQzd69Cjw8lAQE+FBRIbB8+d1kZGQMszA+++zjBAdbCAtLG0HiHR0VfPTR39i27U0qK73p7VV/afL2p+JBd0kr30M4yFel0qLVRjFmzFwnqbe0lHLs2AdUV29HoXAnNDSVqKiZaDQRqNXBGI06OjuPO5NEjpJnx/EcpJ6QsJSoKNGnfuzYZrq6TiAIcPDgWgTBRmzsAuLjLwags7OCkyd34eERSFBQEm1tpTQ1FSGTmZg6tYXyclGymDbNjkzWTFHR7+nv3055uZ3w8E5iYgbw9TVTXf1PACZNgq1bxSRiScnd/PvfAqtXb6CqahmpqS8APRQVrRhmtdPpJgJiIczevTcwc+bb7NlzHVptKTrdeLy9y/jPfywkJIhj08DO9u2PMXfuA/zsZ//hiy/+QmPjPtLT32T//huYMiWHgQHw9ISGBgADUVFt1NXtZdy4q+jrq0YuV7NkyX3MmLECg0GMxO120eLY3b0Ps3kApVKDVitKFlOnxvOPf2RjMkFzsxZfXx1GI3h7x7FpUwnx8d0oleDrq0GlUhAVNQd//zgMBh2lpe+gVgdx8cX/oLY2j/z8TYBAevorFBTcDkg4fHgll1ySPURKWsPcub9kzpxfIpOB2XzKvjhmzIvU1NSTkfEG+fk3cMst/YD3YKuFarq71zvvflau/PKPe0NDIQUFzzBhwvUkJ99Ae/smjh5tprVVlHq8vCAiAo4fh4kT1XR3VzJt2q/o72/n4ou9MJmSuOmmZPbvX0tFhQW7XbQR5ufnI5WaiYxU0dLST0HBO1x//W1otVHDzt/RUUFBwWoCAty5/PLfUFOjYubMOV9Kyo7jOzzoP7UJQy4i/57gbKTe3HyY48e3cvLkTtzdfUhIuBx//7HDSL21tYTy8k3IZAoiI2c6dW5H83+AyZNvRK9v5eTJL1CpfBgYaOfkyd3Y7Z/h4zOWmJh5+PklYLWaKCl5Gzc3H6Kjo7BYDEgkewkObqa93YrVKpIcmKiu3gm0kp4u0NoK1dVSsrKymDRpEceOHSQg4CRtbWMZP15KdnY2WVnv8t57CkC0Dzo6EQ71UzvcGNOmvc4tt7zJ0qV/Zteuevz9B3jtNTESrahYyeLFfwJsCEIPO3c+wPHjx1iy5P/Yt281y5b9lcsvf4yGhuMoFNDRITpEOjpkREX5odPVUF7+DuHh0zlxYjugwmAQXTCdnSCVSqiu9iA0tIX2dgt79vgD4kg4vb4NhUJHZyecPKlj0SLo7gadzhs/vwZsNikWix3oIzj4Yjo6mqmoqEUmO0FwcCIeHjN4882/A/mAEblcw+WX/xGLxcShQ2KRks0Gc+dms2TJ7wEjra0M08wnTLiXgYGn0GoteHmFcs01f+aFF7x45pmLkcsFpk410N19I4Igp7NzPH/969+HJT/PJEOYTL3odE3s3duESrWfhIQwwsJ8OXGii1mzBLy8xMTrwIA7RmMBkZH3olYHcvDgWoKCopk58w80NBQwbtzTlJbqnMe32Uxs2WJCIukjLEzChAnpREZmDJMG9foWjhx5E72+hXHjriAh4dJzTsCfyYP+U4GLyL8jnE3PG43Udbo6TpzYTn9/K3v2PIGHRwDu7j4kJl6NVhtOWFgqYWGp6PWtFBe/ibd3KGPHXjQsQnc4U44cqaKgoJGkpIkMDOQhl7vT3V1DYeFzqFQ+JCZexeTJv8BqNXHkyKvodPXExc1CofCguHgT0A244eHhy8BAB6DE01NJTEwfW7Y8w733ruRnPzvOO+/8nrvvFiWRkhI7MplAamoIt956Fa2tG9m+fTUVFSuJjl4zOMtS4LPPRLtdaqoYcdfXBwJK0tJ8qK31Iiwsh8bGlUyYkIO3tw21OpYTJw6hUoFOtxazuY2lS/+EQqGiqOh/GAyi7zswULyb6O0VkEgi8PLqR69vxWTSo9WGMzBQh4eH6PG22cDHJxxf3y7Uanf8/DSMHZvirJKsrPwYm22A48eleHvbEQTRKePm5oFSacJqtePhAR4eExgYsLFpUzHx8T0YjSCRePHFF2uYMEE0wfv4qJFIVJjNOubOFaP8w4dXYrXCxRdnI5W6Y7fbkcnE1gBWK2i1cVx//f2MHXsAP79SJJIuZsx4EHd3P158UT5Y5OMoRrPj5fXmMGJzyBCBgTrWrvUe1mq5uPgIPT397NnzCW++mct9980gLCyO6OiDmM1mNBrxjgW8CAgQ8zodHVVUVW1jzpz/w2zuw9MzgIyM61m6VOs8Z2JiELfffhk1NSbi40NYtOjmES1yjx//mM7OY/j7TxzRh+hsEIk/gIceepDS0nZmzVrwk4rGwUXk3wnOp1LNQerBwVq02kgAOjqOU129k46OMnbufBR3dy2xsRcxZswcVCoN6ekrsVqNHD++jd7eeiIjZxIQkOjsmbFixb2AxWmRnDAhhoKC/wyWlcsG3QqhjBt3NdOmZQ92wHuP6upPiYubg81m47nnllJQ8AsCAo7R0ZFISsrLLFmywtn6dePGceTm5jJ1agdFRZchCFLsdhmFhdPRaD5n5syZHD0q/m5NzQp27PChqOhaUlNf4JFHvBBL5MFkaqOlRewBHhWVwOzZ99Ha+jCBgQYUihD0+kqMRlEKEQRoa9vGnj0epKXdyYEDR7DZWjhxQpQD/PxAIrGTl3eISy6ZhFSqoL29GJUqhY6OfRgMIlF6eoKPjxSNxszhw76A2knijoZQdrsEudyT2Ng+Ghuho0NKenodAwNi6bzZDO7u/rS1KVCpbEgkUhobZZw8uZ/x40USt9lgy5a/DzbVeoklS35NWZlDilrJ4sXZ2O064FRvF7V6Ktddl4PVakKn+xCDwcLUqb/FZrPw1lvXkpLy0GkdEW189FHUsPdXfn4+gYE6Zs3qpLq6i7y8XUOIfC8KBYSESDGbTTQ25rJo0UMMDLRgNhuBFnx85jBzpj/Tpl2JWh3E4cOvIxssd62q+pTp0381jIQ7OiqoqPiI9PRLiY4uYcKEnw1zqBiNOkpK3qG6egf+/qeGOJ8LdLoaGhr2Ex2dyZIlyVx++eg9in7siVBXZecFQG5uLk8++SS5ubnn9PunV3bu2fP5sKENZ8LQqs/09DuZN+9Rpk69BR+fsZSW/o9PPvk9O3c+SmtrKXK5isTEy0lJuR1BEDh4cB1VVdvIzd2MVGpmzBgFsbE6Cgry0GojmD//MZKSltHSUkxnZwcFBTv54IPfcfjw6wBkZj7ArFkPYjC009Nzgv37bx7sIz4Bu13GwYO389ln6wcJxM7SpU0888xcOjqaAPDxKUEisTJlSg4pKb1ABZmZ252PFRVdiyDIKSq6E3FgswyDAQwGCApylON3kJ4+lczMMBYuvImkpMXI5X54e4vEabGAQhFMTc0X5OY+jSBEU1PjgY+PkpISsVhIpQJPTzN5eSex2bzQ69tpbs6jv1+UehyebbAwffosrr56+YimU83NJQQETEIu90QmE5OuU6ak0N5eiyCIvVQaGqCz00xMTCweHjY6O+0cP27B17cDu11cryBAUdFtCIKcAwduR6zaFKs6J00S7YqtrQL9/aIhITJyHsuWvcLAQAd33NHLL36xkW3bXqS2NpetW+/FZGpmyZJs/vKXEJYu3Y9MJnD55S3k5+cPe29mZGTQ1qalrExBbKxAUFCD82cxMZFIpaDXGwAZCoUcjSYcjUaLWq0AVCxe/HNksm4CA5NoaSnhyJHXmTz5dvT6Nvz9E5wBh+P1qqr6DB+faLq6qgkKmjhMF7dajZSXv09x8RsoFGqSk29w9nj5MjhI/MuGWzgCp5deep7ly5ef8+f0hwQXkX9NDH2T3H77Lezc+dmXkrKjvL+xUY+vr5UxY8zU1u6hsbEQo1E3aln/6ef8979zKC6uY8KEnzFnzgMsWPA4ISFT6e6u57PPHuCzzx6ipOQ9jMZeYmLmkZx8AzpdPVLpYdTqDurruxkYUBAW1sHevc+g17cTHDwRH5/LefvtQt5443Z++9s87rtvLO+99ysqKrYwceI1LFmymjFj5pGevg6p1MbEiafKvPft+zniW0rCpk1B1NT8h5oaMcLU6cbz4IMK5szJpq4OQCAr6yoeeSScoKBsoqNznBWV4vg3Cb29onPEYHD0N+nH3d1GWJgfEkkTFouBtLQbCA9PJioqmLi4GIKCxuLpGURdXT6tre/T1WWgu1uGtzcUFoqNq/r7wWbroKCgBotFAfRSX69AEETZwGYDNzd31Go37rnnzmERXF7edmpqCvH0jGflygWMHRvPokXL0Wp7sdsZrBwVf7epSUp//3Fmz07DaJzK2LFywsPFqF+plBAQIA6GkEqtpKTkYDRamD07m7vuUjBrluiccRQXQRQLFz5JR0cFGzdms337RdjtMjZuTOCJJ1JYtaqPLVueJzR0GfPmPcpDDx3gv//9GTZbDC++qGbu3AwmTHiVd9/9i7MqOSxsERKJnPb2XHS6GgA+/HA5Tz1loa9vDatW3Y+HhxKzWY/B0IVe34KHh79zWIhc7kZLyxFkMikaTRh6fSPjxl12WjR+HIOhE5XKF7O512mtPfXzSk6e3IW7uz9paSvO2GztdAwl8S8j/ry8XYOJUE9+rCX+LiL/mhjaPEurHSAv710aGwudpOwgdYeXGE6V9y9ffjdPPPEqV175gNNG2NhYRFnZRmpr94xK6kM3jjvv/AW7dm13RukzZ/6aiy56gtjYRZjNRvbv/w9bt/6K48e3AdDXF8Zbb5Xj4yMhOrqX+fNnMHv2TQQFTaSoaA0FBc/x4YdbOXq0j+PHRQI+cuRGPvmklJUrbchkdh57LJlFi57Ezy8eQRDw9PyMqVOnUV9/GUuXNiGTCUgkYtOnQ4dWDhKzldTUrcTELEejiSQ+3g3oBRS8//4qPvnEgpsbxMUpkEh+g0aTxJYtq8nJsZCfv5qmJnBzkyKReNLeXk5390mMxg5Mpn7a2iqYPHkpERHJeHur6ek5idEItbV9SKV6pk4VaGoyYDbLaWlZzVtvWSgtXY0geFNT4wW4o1DImTcvCn9/X6RSd2QyGSZTD3p9u7Obo+O1f+SRP9LR0cbzz79OSUkufn7BxMWNQ6v1palJhdEobjz19dDevpe8vM/x9Z3OFVfMIjbWSn29SPZitSosXfpn/vQnBXPnZjMwIJbtS6ViMlkqFb+vq5OSnPwr6ury2Lz5fk6cOMGECeLGl5KS45SziopuZ9OmDWzb9ku2bfslra0bSUoyc/Kko3/MTVx33QPMmPEWnZ1FbN58kEOHrLS1HWPjxicAeP/98YN3CD8jOtoXg8HMBx98hF6vByzExy+hoWEfM2b8Gr2+nby8vzFu3NVYLHqkUgUq1ameCWLl58v4+o6lufkgiYlXDiPdlpZi9u79F319TaSn3zWs1fGZYLUaz4vEjUYd48dr0WptNDbqAcWPMhHq0si/JjIyMnjppZeorRWHKsyceQ1BQUnDKjOtVtOIQRLp6ckjtDrHHMPRrIUOos/L24Vj0j10kJe3lpSUCc7jBgcno9VGOis9a2vz2bXrLygU7jQ0SAEbcnkAHR0GLBYzFRWbGD/+GsaPv5oTJ7bh6VlMUBCo1aeSih4efWzb9nMEQcqaNXaefVbFxx/PRBCkFBRkMXVqIeXloNPtZceO93j77Uyef16Mri+5JBtPzwe56qqHue22l9HrW6ivL0AmU2IwdLFq1XVOF0pCQjaJiRlcf/1qfve7iQiClLKylWRmZqNWhxAYGEZ7ew1G4wAWSzVSqQK5XEF3dzUBAXHY7ZG0tZXT1FSC0ShG3z4+MGYMHDsGHR3i+LPGxpVkZNyPVColOfleGhpeoqurju7ufnp7HdJKB3K5G11d1c4oMT8/H6NRQn+/lJaWPurr++jsbMBq7cfHJ4DExDhKS8vo6XFDJhvA09NKSwvs2rWLsWO7aW4WZ34KgqjD19ZCVFQXIJK/ySTKQ2azqPm7uUFpqYSxY7Ow2w9x+HAFJpMOhQIWL85m/vzsQclJJPHJk3OYNElMvHp4uKNQhFJaeoKYmByqq1c6Oyzu23ctV19tJyxMSWRkNgYDVFS8xokT17JixXzWrLEzbdoGysoqOXmyjsrKXuLidISHw8sv38KWLWnccksvDz10EJOpn85OGQUFzzB16kqnti22ZT6CWh1CU1MRkZEZw3qudHRUkJ//ND09zYwffyVRUTNHfLZO17UdPVkcI+LORuKOAKqzs5LJkyfzxBMvUFh49EerkbuI/GtiaPOsoW8SByk7cGqQxPFhxO5IZg4d/aZWBzv/fzqpjxvniVIJDQ0GpFIvpk27lurqHZjNA8hkCuLiFg26XaJJTb2dceMu5dixzZSU/A84QlqaHqPRipeXB8nJixg/fhJHj76JSuVFRMRMJk8WaG//D83N2SxcKJbT+/tDYmIOZWUrWbq0ldzcE6jVtfT23oC/fw4XXyyS0NatHeTn5yOX/5Zf//oA7u7isIbmZm9nFKRWB5OYeLnzdVm8+Bhbtoxl7Ngcpk+H5OQBysre58Ybg1i/PoCUlI2EhgahUEB/fwsaTRCCYKW7u4mXX76ZoqLbSEtbz+LF/4dGE8b48Vn09PTh7V2MTif2PwkJAYPBSmtrDnr9SiZN2sSECUtZsMDEhAmJWCyT6eqqQaMRq0V7esDXF6xWK4cOrSUwMBGtNpqMjAzWr3+O/n47oaHg5yelqsqTmJgeYmJSSU725osvurHb9YSHD5CbK24KERH7qa8PxN9flEkCAqC11dEwywb40d/fidUqavRubhL6+gSOHPHAalXg5XWE8vLywQ3GjtUqykNffLGasjLR4fOrX4kDJWprGXTM2JFI+pkwwYeYmGy2bIGSkrtx9DEXBPlgp8dsVCqQSIwcPryOf/wjhQcfPM477/yJykpxulVMTC97964eTMSKg55ffVXLPffUYbVKePnllwgL6+Pdd/+KRjN+sGqzkqqqTxkzJouOjmOEhaU5JRW9voWiohdpaysnKWkZkyYtG6Fv5+bmcuedv8BqFXjppZd4/vmniY/3Ry53G1HOfzpEO+5RZDI351zRqCgV8+cvOfcP9g8MLiK/ADi9fzeMHNs2lJxBfLN1dBynq+s4anUwBkOXk9iBM5K6RlPCww9fQ1VVFcnJmUybNs35nKamg04ZJS5uEXK5Cq02GoMhgaamZIKCvHBzq8RkakCh8KWzcxO9vT4kJCylufkwpaVvM3XqdRw4cAyT6VMkEjGi7eiAK67IZtq0bGJjH2TDhk58fDZw9dW/4MgRMcJ0c4PoaGhu3oxCcQC5XOxLUlio5Gc/uxQQBwecHhFFRY1DKrWj1SZy6aVPkpAQQ3X1DubNu4klS/x5992HeeSRJhYv3suiRXeg13egUMgJDo7nwAExUVhYeCPp6bdSW9tIXV0DiYlZJCZ6UF9fQWSkQE9PAFFRVWg091JV9X9ceeVs5s/PRKHwoLY2l6Sk66ipOYxKVU5DA3R1iZuXr69scFLSqb/z008/zvvvP4he38jBg+5ER9txd5djsfQzY8bPCAu7lP3711JSYkYQjjJligSbrReVykh3t0jizc0iYYt9Vjyore0cfM+An18gNTX91NRAQEA/QUHiJllXB2FhHiiVatRqT3S6fqfDpajoLpYs2YZKtdnZo10q9UMul+Dm5oW7u2pwGLMUqdTGtGnr2bdvGRMm5BAYKG4KUimUlGwkMnI2ISFTUCrVhId709oKdrvdeS6JREAqFbjppk7y8v6BILgTEtKElxdIpVby8/NJT0/mxAlR8quu/oy0tHuc0bPRqKO09D0aGvbh75/IhAlXnmHk22bCwvqQSn1objawb9+bxMTcSVhY6hltiQ4Js6enDgB///jv5VzcbwIuIv8WMZTcHQQdHCx2OHQQe3t7GTKZgvj4xcM6HzoKe1QqLWFhqVitRpqaDnLw4DoiIqYREjKFwMDxhIZOpanpIMeObcZg6GRgIJzf//7P2O12lEp47LE/oNfvoLn5AK2txeTl/RsvrwjS0+8gMHA8Bw68hK8vHDoEkZFihOrvL3qwQ0LAat3I5s19+Pr2o9WKHfwc/bCnTUuiry9vCJlASIiZyMheVq26ApNJwjvvqFi16o+kpWUgl7uxZk08druUAwfm0tn5EKWl0YSHz8BiiaakpJiNG8dht0vZunU6DzxwJwMDHVRWfoBe38q0aRvYt28ZSUk5eHiIhNfX18TevRtISkolPf1iqqv3IpG0cvSogLe3G35+CqZOXYLR2IBEosBms6DXtxIfn4HBUMm0aXY6O2cTHa1AEHbR3t7k/DsYjTra2/fR3NyLl5eUkyftTJgQQXj4BBQKT4KCkrHZipgxYxrTp0+hsXEFRmMPbm4gkfQTEAAnTog2SA8PMana1+dGd7eVwEAzZrOM2loJR47YSEhQ4O9/aniG+FWFUumJRjNAXx/Ex6+hsnIF06e/y5gxNmJjf8uJEwYmToxi/Phx/PnPE3j33ViWLWvjpps62bAhkOXLjdx3XyBlZSs5cuQd+vvFhKoo6QzwySeP8vOfv86ECcsoKVlPWFgIVmurs9/LDTc0smFDFCdOHOGtt1qIiLiahoYX0Oul2O1yMjIy0Onq0Osb8fIKR6MJx98/DhCJtqTkHQ4fXo9CoSA1dcWo8khHRwVxcUq2bZMDOoKCJKSnX01U1KwzOlOGyi4OCfP7MAP324Kr18r3CEN7pDhIHcDXN9ZZfn96TxW9voXOzira249hMHSSmHglanUgAHp9G2vWZHPkyAEUCtDrBwgPv4zHH3+KlpZivvjiMXS6ej788CmKipYzb14+TzxxjN/8RkNe3tXExORwzTXZ9PWJMoB4aw87d2rRaqX4+nYRFCRa+rZseYGioludTa02bhSLfSZPFr8XBDECNRjAz88Db+9g3Ny8efPN+8jPv47Zs9/n+uufIiQkldraoxQW7sViEdi//zlqa+9k7tyPWLLkt8jlKsaOvQg3Nx+OH/+Q9vYm6upasNnEdSiV4uYTERGJt3cQRUUHcHOz4+0NFksEkyenk5FxHSqVL+Xl7xMUlExrazE9PZ5s3/43fH2hqMidri535swR9euLLnqepUtXote38I9/XM3771czZowUvV7PlCkyPD3HEB09nTlzbqC4eD0SyWQ2b/6M+vqNqNUiUWq1YgLUYhGLkxyJzPZ2KUFBdmw2BdXVKtrbQaPpY8IE8bXW6cTnSqUQEaEiKGgCIKe3t4+Wll76+8dw8cVXMGGCOAO0p6eeQ4dexmzWc++9R7Db5chkAjpdq1OOyM3NZc+ez4mI6Gf16vEUFd3sLOMPCCijo2MC11/fQHr6RURGzqa4+GVAC+i4+up3mDjxGpYtq+XNN8NYuvQgU6cuABaRlZXN1Knx7N79JDabFZOpl5kz73O2v21oKOTTT3+PyaTH3/8KTpyQj7hDa2kppqrqE6Kjszh69BhFRR+Rnn41ixZdd8bPjCMKt1pNI1rh/tjgapr1A8NQUm9tLaGr6wQwnNRBlGB27vyMvXt3M2lSFO7u9Xh6BuDjM4bAwPHk5W3n8cd/h1rdg6+vePs+f/5yLrnkXozGXjZu/A333bfX2bBp7txPyc1dONhO1sqttyoICTlF4gBFRW4MDLiRmtqLh4f42NAmTrfcomDdulPfr1ypcI5Hs9kgKEiDQqFCpXJHHOQgR6XS0t3dgcXSQ2NjH319dnp7RXlm7tyJpKTE4O7uiUrlR3PzQQyGdnx8xhEcnMzBg2/S0lJPT48Fo1GMeP391fT0SGlr66W7W4OfXw+xsVrCwibj7x9LXNwipFIlJ058RlBQMlu3vkBhYQnjxpno6oL9+92YPduGIFgJCbmLRx55Dp2uhvXrbyEnpxqrtZ9Jk7pQqcBiUVBZ6c+9916JUunPY4+9QkREA3K5QECA6Ctvbxf/jRmD0+Zot7uhVlvRasfg4zObpqZ22tu3ExRkYmDAjtkspbfXTnCwaL8MCwsjOjoJuz2SffsqaWnJw9sb3NwsREWFYrf3IDaNsgJ2Z/fEmTPfZvny14mNnU9zs56nn34RnU4BKDh5smJYUzLHV5nMzgsvzAMU1Nd/DngC/U4il8vt2GyiVPP448Fcc81bxMbOp6WlmJ07H0MuVxAYOJFp0+5GpdLS0VHB1q2/p6OjhKCga1i16l3A6uyOmJGRPqirf0Jrq0BJyV7i48dxySUrz5jU1OtbaG0t+UlF4a6mWT8wDI28CwuPsndvI2lpU/D1hfLyTU4vb2urgt/85o+ADavVjeeff5qEhCkcO7aZ3bvX09CgIzQ0iaNHiwgOtiOX26mry2PXLj2pqXei188gMvJFamtXAhK++GIhixZt5/PPF7B0aStRUQuBz4atLSMjFrPZDTjkfMzR4GncuBwOHVrtLAyaPDkHjQY2b15NaelKUlNfZsmSX2Gx9A56uEXS6e1VUltrBsTI2stLLOBpbQWDIZGlS/+GXt9OYeHzaDRReHmFYDB0cvz4h2g0vhiNGnp6HKX64OYmYLX2DkouPbS0uBEbG01j4xE6O5swmfoYGFBTV9dGWFg7ISExSKXH6egwodGAVitnYMCKpydERUmcFtCAgGBuu20Ozz77T5RKKCkBX18VRmMXhw5tx8dnMXa7HS8vT6xWPTIZg73gYeJEN1pbTfT0iFOGxo610NCgZenS2wkOVnLkyBY++khOZ6dhsAmXHR8fMYrv7HRnzJj5HDqUT2fnNuRyAX9/cVPw8wO7vWnIX0gcn7dkSTZLlogJ67o6eP75Sykq+g0TJgQwbdoDtLZK8fXN48CBWfj7t9DeHujsd37JJYWkp9/Dxx//BtHX3w+AzSb+jW6+uYd167yYOfN/eHuHodGEYzTqKC//CE9PP0wmvbNXil7fQm7uE7S1HSEmJouyMoGAgD58fT2oqBAL4gIDu2ltLaGtTeCFF/6N2Qxvv32IsLDFZGZGD3v/Oe5Ea2v3oFYHf2ny86cAF5F/z5Gbm8sdd9yFXG5i7do3ePHF55kxQ7zN1Otb+eiju4iO1qHVKqmqMrNv326ysi6hv38MzzzzFCEhvSgUVvz9lbS22gkKMuDuLkGnO8mOHY8QGhqBr+971NauwDGl/dprH+P3v89nzpz7MRpf44UXptPXV+tck9lcBvgMW6eDNLZsWU1h4T04Ws7Om5eNXg+lpY7E3G0sWXI/np5B9Pdbqa1tdhzVWaHZ2yu6O9zcIDkZMjICsFpNaLURpKXdhUrljdVq4uDBF9HrO7FaDej1FSgU0NSkxNtbgt3uhV7fj0wmw8vLRlCQggMHirHb7URFdWM0tnPsWC8tLd64uQlcddV8Lr44nfb2PqCC1FRPDIZIgoLKEYTj6PUtyOUqPD196O83EBGhRBDcqakxUFvbR1oafP55O7ffHk5QkAmFoh9/fzAaQ0lMlBIQAFarGxs3nkCtFnMLHh7JXH/9YqTSCkymKPz9A7nkkomUlVVSW6tHLnejvt5ESEgYU6aoOHToPbq7+wkJAY1GJHh3dzE3IN4ZyQA/YADRZqpGpXJHr6+jrw+n37y0dCVKJYM9bV5m48Y3mD//UXS6Q7z++mW8//7DbNmyEkGwk5Ul5ZNPnqOg4CZSU3MIDHybrVuruewyLZMmPUdfXwf+/gtRqTR0dBznxIlPkMncmTz5Bvz947Fajezd+19OnPgcX98Y0tPvwWz+AF9fCydPWpFKFcTFKRkY6CQwcCJffPFP3NxM+Pl50NpqZ8OGDU5HWEZGurNBnMOCeLaKzp8SXET+PYdo5zORlGSjvNzA3r27mTFDtHKVlbXS1BRKdXUpcXEGpk7V4+X1BQcOvMyePaXY7Xbs9gA6OnqYPt0fHx8Pxo5dgIdHJ01NRdhsvUilvVx+uQad7n/U1FxNZuZGPD3DKSt7Cx+fSKZOvZUxYxbwxBOTndN5RML+8yBhOyCQlvYcRUViZA8Cqak5mM0iKY8bl8OxYyuZOfMtAgKikUrl9Pc3YbNJMBo9KCw0I5OBQqGmubkbb29vAO6995fExQVw4MBL2O1WpFIZGk00Y8cuZOrUOzAae6mv34tKpUWp9CM0tBo3NwVKpT86XQu2wSGZEokRf387FRVip8KpU3V4eQn09HRTWSnn2LESrr56JYcOvc/Bgzq8vHSUl3cTGgp1dUcpKChg2rRpGAzdJCWNp7TUQNn/s3fe4VGW2fv/TM20JJNk0ishEAgpQBJ6FVEUe++FRUGQLbpF17Wt+1V33dVVBIMFUXHtHRREBIEESAKkQRIS0nudJNPr748nM0ksu+qu7u5vOdfFRTKZed933nI/57mf+9znRBBOpxyp1IPZHIzFIqe/v4rzzx9HW5sXl0tGSkokcrmNxMQFlJYqcbneRKVy0tXlZPZsLWFhHkwmKY2N+7DZFPT3K0hOvpLCwr8RHGwkLEzOzJnx1NdXotOZiYgQOnG3W9AtdnsABkMYLS1teDxuZLJukpMnEBoqpHoWSxcmkxa73UxmZh6lpWvweqUcPboGkFJUdAsXXcTwNYvkmmsOUVwci9cr5+OPZ2I2v8ChQ2cieqyuJj19HbW1BygocDJvXiwuVw/jxi1CLldRVfUBXq8EcBEdnY1crqK09FVKS19GJlMQFHQWL7zwDApFDTExi4iJUbN06RSCgkyo1WE0Nh4gLm4cn35aTV2dnKEhD59++iEymZKXX36G//u/n5GYqCc4OOF0Fv6lOA3k/+HhKziqrLQSFWUnPn6A8vI3aGkxc++9f0XokCEu7gLOO28e4eFujh9/F42mhWnTeujrkzJ+vIeMjLOZNm0Jp07twun0kpKyjJqabfT1tdLZ2ceiRVdSWKhiyZJzaW09SmBgNIcPP0lMTDaZmVdTXLxwWOonwHsEsH0hoahozfDPHjIzNzJv3jrkckGVxMT8lquuOsmaNWuBN+jrq+PIkQNs3/40vb2DOJ3gdOo544xzmTRpPFar1+9iZ7MZ2b9/D8XFReTkZKHXqzh2bAsulw2FQktKyjImTDgbm22QHTv+RGdnOzLZEMnJkbjdwh+ksbEWtxtSUmD/fmhsjCMqqpm4OGhudrFzZzNJSW9RV9dEX5/gtY1GC3V1oNNZ+NWv1nDzzbczOFjO1KlzmTMnhylTZhEcHM+TTz5JW5sTvd5JUFAJNlsHfX29yOXQ1NTFlClXsWTJAwQFlfP22+9hMFgIDPSg10toaztGQEAQTmcIzz23m7CwQTSaA0yc6Bnu8eqir68Gk6kLEE2bFQqxcBofDwqFHau1jcOH11NRsZqsrDzCwtZht58ccx+9/nopPT0Z/mvlazLtM9caeV88V15ZxxtvJJGTk8cXX4wMzF6vjBdfdJOWtpFJk9ZhsxmAatTqEEymTurqdiOTKUhPvwqDYSKnTu3ms89+h9ttJTz8Gtavf5L4+AEOHXKi1QaTkOBk375qMjMnYLH0IJermDPnIpKSLqew8CgNDeXU1u5GqVRgt5upqKhg6dKH/ye48O8ap4H8PzxGFxzl5mYwd+5cXC4bn3zyayZM6CU8HIaGXMTEmJg2LRuVKoikpPnYbIPo9X+lrW03anUMOp2H6urtBAfHIZXKaWsrIi5uNr2921EqBdjOmGHjnXe2cfvtl9DauhOw8sknm1iw4BJycp6jqEg81ALMvYxdIPMtmkuRSFwsX76Onh44IYQ3WCwyxo9X09RUwMBAO/fdl0B+/oNMnRrN2WcLwDeZjMTE7EerrSM2NgkIpLKyn23bPmfTps1IpQG8+KJ+mF76GSCUOcePv4XLZaWry8Ubbxykv19OWJiTCy9Mxe1up729w6/+aGuDiRMhPj6F/fubGT8e5s+Hw4dt9PdHAS3odGKR1WAY8Xnp6OjjscceY/FiF7t3/56rr87m9tvXoNcnkZWVxZ49W9HpjiKVDuJwmFGpwG7XUFyswmrV0Nn5OCkpCi6/PIHm5pPExsZiMIQMO1eezYsvPoLBYCQwUOxTLofISBk2m5vWVif19Tr0egcSibCSDQ4eWYAWGnCfpcJqFi5cN+wXD8HBEkA2DOLiWomOQ3lfosJEzJnzN6666gtuvXUcv/lNkH+tw3dtQcKJE2s444x1hIeH0N0NDoeJ7u4qzOZuAgJ0REdPw2Tq4LPPfofF0k1m5nWUlFSSkdFDS4swQUtNHaCmBk6dOkZnZxULFsziwgv/iMEwgehoI7GxLg4cqKC2VoJcPkBraxDBwek8/fSW/2+rM/+ZOA3kP1L8MzaaX1dwNH/+9bz++hecOuUkPNxObm4T27ffRlBQAsnJS4iMzOLyy/9MS0sRR49upqWlALU6ArO5G4VCQ0xMLh0dR9Hrk6ivbycyUujE5893UFRUg1LZj9kMXV0b0emikcvjvnRUUnwAHhFxnDVrMnj/fdGPMyMjj4oKQak0N6+nuVn0zqytXUdtrfh0fr5QtZSUrPbLE7VagCba25tobz9IZeVrgChIWrAAXC4TVVU29u17jXHj1KhUQej1Cbhc6RQXl9LU1Ipc7iI1VUZ5uYqBgZnMnKmksfFVDAYTZrOQQMbFhaBQNBMeHkBZmZ2ODkhOVqBU6pBKpTidQhsfGysy36gowde7XF5kMglJST2UlEi57bYkAJKT1RQWFmIy1SGVBiGXq6mvD6K5WYfZ7KGv70MmTrRQU2Px+9BUVlqIj59JcLCCnp4qrNZUSkuPk5UlBo6hITAatUgkUubPDyUgoBqZTIB2cLCSri4HRiPs27eehobVhIfX0t2dQkbGywwOjnZx9AIyIiIq6OpKJyrqJKmp5ezffxvBweNZvvxcP3cOHvLzr8Jut3DNNc9z5EiB/zoHBpYzNOQbDCRs2OBkzpy/sXTpZwB88cUfcDqtTJx4Dnp9PB9+eDsdHcWEhk5GqdQhl5f4B6jJk0XRVWKimPk0NUno7U1Hpwvn1KldNDbmo1LpiYmJYc2aX1FZ2ctZZ4mZz7exfv5fjNPywx8hfEZXUqkDkPPMM+tZuHAJLpfNX54PX22m/G22W1BQwMyZ2WRkJGAydXPy5DaOHXsbm22QqKg5LF68ChBSrYKCxxga6mLnzk3s338hixZ9jM1m5uDBy0lNzeOSS4TCwWxWU13tpbPzMUpKVpOTs5Pi4rP9EkWZzIbbLSpVIiIq6O5O82d4oANi2b795xQXrxzliy3sao8dE9N/jwfKy1eTk/Msy5f/AhBqiJ6eke/n04aDADCLRYDc4cPPUFy8kpycl5k160FKStro6FACcjwe0YhhYMDNAw88wC23XM8XX+zk0Ud/QlCQ4JhdLgHUVquEkJBw3O4M4uPlFBcfpKdHzoQJRlQqDxYLFBdDTg7s3avBbFaj0/UycyaUloZz9tlXU1dXzKRJTdjtLcOuhhASkktb23jATUBAE62tpSgUGpTKPoaGQKEIx+k0MXXqEtau/TNHjpTw7rsfceDAe2g0VpKTvaSlRQB9gIygoBgcDi02Ww8ymQSNRk1HRztGo5Xnnx+Reb766lW0tzdw5EgJAQGCcps4cSLBwYF4PC56elqBXn9/UKnUxWOPpfD++49w4MDlo2gWDxKJh/DwGrq6JuFbuJ48OY/KytWj3uclN/cFnnrKzi9+oaGw8HquvrqdG2/cREHB/yGRBDN+/Jl0dBShUoUyOGjC4egEgjGb+zCZLNTVaWlrC+Ghh36NUnkKm82EQqFm/PglREdP9S9mPvzwfbz88ovExmppbLSycuVtYzoe/a/EaR35vzEeffRRNm/eSGqqhJ4eK+ecM5+rrvoJJlMHOl0UAwPNwIhG3NdoGSA/P59Dh/KZNWvut/KK2L17O3feuYqgIAuTJ/cTGxtKREQS2dkC0K3WARYv/gUej3iQvV78QLB2rYKCAtGhJyUlj9ra1X7wHqFRfFQKjNYdSyQuZs0SlZY+KaIvy5NIPGRk5PkbSfhey8zM4+KL1yGR6PF6bdhsNpxOsWW7XQC3aNAgwFcuh4AAGRs22PzHfMcdCux28X6XCyyWKCoqjLhcGiCQZ599mQULFrBnzy7y83fR3r6foaFCNBoFDoedxMRwgoOTOHKkm87OdrzeOLzeFiZMsNPbK7YbGgqDgwswGCbx7rtvkp6u4fhxK0ND/SxcCBMmCAWJVCqnpERBU5OScePkGAw2pk6dxsmTxfT2BlBf76a314nXKyMsTMdjj/0Ol8tCXt6jREQMERbmRqsFjSYCvT4SISm1oVIFo9VGEhmZTnh4GjKZkoqKMp577gVOnXqY1tYVzJv3EbfcsgWHo5+BAQtDQ53odOEEBirxer0MDg5x7FgtZrOb8vKnqK+/zX/9ZszYzLnn3s727Y9TXHzrmMHX1/Q5LOwEPT3pAERGVtPZOQkf1y6VevF4JIBo/nzvvSrAjcEwlcHBRhQKLVKpDKfThkKhxmrtQ6eLJDR0OXV1VmJj+5HJetHr4zAYJjN58gV+z3Kf++cnnzzDCy+8gMkko69PO6ar0f9SnNaR/xvDt2BZXe0AdMydu4Lk5DPGZOS+wp+TJz/2g3tV1Qm2bn0FjcbO/v15WCwPM3/+Mj/Qf9mXBYTm3GSSERGhx2odwOuNQK2OYteu3yKTyZkx46csXLifvXsXkJ39MmazhcpKAdx2u5Ckeb1yamtXjwJkGSNUii8ECERElNPdnUZ4+EkOHryBLy965uZuZPlyYdHa1rbAz9UKPnctSiV+rTMIMPYMU7K+0nGbTWjDAwNBLnf7M8O0NNFYWQC8yNr1+g6iooTWuLnZxp49m5g4UU9ubgaLFy/lqace5y9/OYFWK2P8+AASE/WcOFFEQIDI9pube7HZFMTH21Gp4PhxmD4dKitPcNttl7F7926am50MDJhJSBAgDuIYy8rUVFW5iItzkZAgw273AF6uuuoJtm07SHHxdlwuE3o9xMbaqah4DJerg0mTnP7v6fWqUKkkKJXJTJ9+LgBKpZbGxv10dlZz8uTH2GyDuN0OFi92sHjxGuCn6HQR9PQocbudOJ02tFoldnszVqvIzN3uQWJi3AQEQHr67TzyyKrhQVVCYeFPaG5eyKpVObhcHo4dE+Za4eEnKCoSgD/CsUN390Ryczf4OxF5PDIkEi9erxe3W8IDD9iZMeNFli+/Ha9XisPRC6iQyQKw2fpITFxCZuZl2GwDSCRf4HYPER2dw/TpN6PTRfp14t3dlTQ15RMUFM8559xGRMQCCguPfqtmzP9rcToj/5Hi23DkPkD3gfvjjz/O1q2bSU31YrMNMGtWFKmp0wkNTcbjsaNU6lEoNMTHz0avFxx2UdEx1q69E4/HjUbj4a67rsFmKxq2P9XQ2lrEwICDkycVDA46SUkRRk6+Vmn79j1DUdGtAH4QfvBBz7CszItE4kapNGK3h6FW92Kz6f1Z20j2Dr4s/f77Ff7v98ADbsYOCGPfY7ePHIfgkgW9IpEIkBuR3IFGE0VXl1jE1OkYXlyEtLREWlsbUanEoBAZGURwcATh4enI5Zn85S/P0tfnorfXxsKFc4mMVGCx7ESp9GA2u5HLVYSFnc2RIwVMmdLNzp0QG6unszOIlStvQ6vV8sorr9DdfYy0NBexsWK/Xu8stm8/SUiIg4kTTSgUShobw3nssfXMnj2bJ598iq1bHyc93U5UlPhMUFAILpeG9vZWursFH69QCA5ZDDRBKBQSNJoQXC4HCoUatToMr9eFRhPFyy/fxuefn8WiRZ9w880v4PG4cTj6efXVX7Bv34XMn/8uV1/9ZyQSCf39fVRX1/jPa0XFcxQVrWD0LOuJJ1K5444T/tkOMHxNfSFmZkuW7GBwsI7i4tWMH2+ivj6YVaskbNzom7Xhv64Wi69zE2g0StLTr0avH0dd3afY7f1ERWUPe67EIZer/IvXbreTpKQFRESk+Ttj/RDP3H9bnKZW/gtjNLculUr5y1/uJS4ugPb2EuRyFVZrD0ZjC1ZrDypVCFKpgsDASAYHtdTVWZg1awnZ2VMB6Our48CBP9PcfIzm5n4iI/GXwBsMAsx9KojRgCuRuImObqWtLZZJk/K48MJ1/OlPzlGgLRnucPMiRUUrGZG2eUbx5l/erodp0zZSUiIWRn3cvNEoFvl89IrbLf5Jpfgz5mFZOBERQQwODmIyiYxcq1VjMCgICgpHKo3AaGxCIvESHh7F0FAbNtsgXq+V/n4vfX1QWysULCZTGAaDlOhoE0lJVgAkEjmBgdlYLIdpboaTJ8ORSoP42c9+xpNPPonL1UFOjpmQEHHMUukM9PqpfPDBG6Sna2hrszFhwgTWrLmDceOCqK3dSWNjFYcOfUp/v3eYn5fT1haMXK4gMLADlUooUXQ6AbQyGSiVGlJT04iNnYDJ1INEIh22GEhFrQ4lI+N8f5n8ffflEhqqQ6OBW2/9fJg6c7Nly4Wo1UGYzYP09XUxONhPRMR45s//CW63g4svPov6etEQ9Prr2+ntreWTT+YwY8ZLeL1yCguvxwf0WVkbufhica18lgwymReXS4B3erqH48clw9dHzNSmThWe9O3tkJg4nrAwDW63Hb0+malTryMyUkgiGxv3YzQ2IJMFkJ5+BTpdxPeWGbpcNr74Yje33bYOj8cNKP6/WRw9DeT/RTE6kwDGZBU+kyBf1p6f/wWHDu0mPt5DSIjw6R4aqgMgMDAerdbAhAnnEhycgMNhoqzsKDt3/h69XmSxn30m/DjCwyvp6hp2ahrDhUuQSNxcf72cjz8WWmSVqhe7XY9KNYDVGgqIBzcxcd+YoqEvh8/7Y/LkPGbOFH+Xy31SOyk9PR7cbpGVKxQiE5fLRTbucol/PpolKkoJOHC74ZNP1tPdvZpFi/ayYsV6wEVv7yk8HicSiYTBwVaE3l5CW5sDuVwMWnY77NoFQUEJBAdr6epqJzVVhUzWQXAwnDwJ06bBzp0y1qx5ArPZzPPPP0NcnJOIiHaqqpTYbHomTZpJQUEBDkcfkZFe4uO1XHzxNAIDVZjNnURGZhAePoX2djN79tQhKjBl7Nmzh0mT4MSJdrxeFwkJIxRRczMkJSkICoKMjGiUSi92uxWPx4lMpsDj8fDhh49SWHgzkybl4XZDTc1qFizYSXh4Eu+9N5nLL6/jwQdrcLsd/tJ6h8NEU1M+3d2VOByDeDxufvrTCgQn7qWm5nP6+k5RXn6EAweeJTQUPv98PSUlqwkPP0FXVzojWTfcdpv4edMmL2FhlXR3TxyzRiKRuFi5UoFCARERWmJiMsnIuJbQ0GR6eqoZHGzEYuln4sRziYub4Xf5/Lbh67w1mqLs7a3hpZf+yscfH0CrDfn/anH0NJD/l8SXs/ANGzb4teO+m9X3/8GDB/nZz36OVOpCp3Nz773/x5QpqZhM7QwOtlJX9wUWSyddXZV4vVJCQiL55JM8duyYS3b2NpYvv9ivYBhZzISxXLiXyMhaurqS/U0FfJn6yO++z3j9dAyMAHdOzmbAQXHxaqZNy+Oss9YhHdVk0Odn7qsCBZF5u1xisLHZxN9kshGKRaUKwukcxO1mjEHXY48lo1brkUiUJCTMo69PxtatzxESYiIkxEtAgPi81ytcEs1mUd7u8UiorAwCAnC5uhk3zktbG2Rnw549Adx44wPMmTOHFStWAE7kcisTJ87iyJEjeL1DeL2iTD8uDnS6YGbMWE54+BTi4mYSHByHydSNXB6AXB6AShVEfv5u7rnnfuLjB9DpLKjVHux2cR4CAsSsJCBAaMp1ukTCwrKIivISFhaMzTaIxdKJ2dzJ4OAAXV39PPPMyDl48slMPB4nRmOv/1oqFCMUl8fjxO02+//2wAN2Rs/A5sx5DYfDQ3Gx8Cz32SuMvUfENfd6JUgkYw23fGsjvrWS3NyNXHDBY8yceT1Op4ne3mqUyiCio7NJS7sQuTzgH5ba+xY9R1s7m0wd1NV9jtvtJDg4noGBZr8F9OHDR05n5N9j48uAJxGpxvNer/fRv/f+00D+zeFTuEyaBBbLEPPnz+PMM8/AYulEpQrDZutFpQrDYunk0KECyspKCAvzEBBgx2CYRFLSeFQqNZMmXeTfZlvbMbq6KunpqeBXvzo1LD3z8OmnD3H//ePJz7+WryvsESFokrEP8pf/Hx0eHnhAWB2OdkSEEXXMr3+t8LczczoFWAUFCZWKD8j7+gR4n3POAk6dqufEiWYcDpElK5UBbNr0EhUVR9mw4RmMxr/Q338zy5ZVcM01L3LkyCc4HP0EBlqRSBzYbM4x8kWrVTRIlkrFfgcHpbjdcmbMUCGRmOju9nDihOhuFB0NbncMr732GgsWLPDPlrRaLVu3bqW+vpwZM+yoVB7kcrHdiy66gSuuuAEQGXBDw14aGr7A5bIhkcjQaiOw2Xqx25UMDAwxadIVnDyZz759ewgJ8aDTDV8BqThHcjlYLHKkUpg1axHJyVkolYFER0+loqKcLVv+SHX1n6iru4V587ZxxRVPUFt7isHBVj8/nZgYg16vG74OHqxWE9u2PcrBg9eOmo2Nnol5+fICd0REOV1do6tDvVx0URvvvx/zlfsiN3cDR46s9qujnngiE602gqiodKZMuQq9Pu4r3LfJ1AGMZNe+n202I7W1n9LfX4dGE4lSqSE4OB6rtY/ExHl+Csb3Gd82T3Pk323DMuAksBRoAYqAq71e74lv+sxpIP/m+L4ZeVCQi2XLJuD1dqLTqXG7+3A6LcN+Kw5kMgWBgVF89NET7NlzFgZDFV1daUgkEmJi6mltTQIgIqKSrq604aMZq0wZnZF/fYhs7Le/FUC+a9d6P9UCoqw/KyuPhQtFh3hRvh+A0SikfkajANrjx8HjkfOrX/2aG264gcOHD/Cb3zyIw2FhaMjNb35zJytXrsRmG6CoqJDi4mNotWqqq2v4/PMduN1DmM0CwAIDtQQEKJHLFVgsHmQyM16vlYQEsTbgdAqaRSaDxMQQwEJnpx2FAg4dgpISJX/+859Zt26EKtq3bx8XXHABTucA4eHC2MtgELMHhQJCQ0PR60NxOGx4PA602kji42fidAqgCQqKpba2hO5uM5GRIUybdjY7dxby+uu7iY1V0dzcT1RUNKmpaYCD0lJhVyuT9ZCamsDs2bNQq0Nwu21IpQr6+5U0NhqZNCkFj8fFyy+vJzBwCL1ezDaUytEFQiPxdQPt2EHad01hZBY2oiH3vT7y+8igLpG4yM19iaKiGznvvGIefrgZpVKHUhnoX5j3hVyuwmhsprr6Q1wuKxpNJBZLF+BFp4tFrQ4mOfmMMXUWX26P+L8SPySQzwYe8Hq9Zw//fjeA1+t95Js+cxrI/358l0xidIb4zDN/Ri53olTCnXfeTFpaGg6HGat1gPr6L2hs3I/XOwiMPMQivMNqhi9n2SMa8Z07H+D99/8wSpnw1Wm2ROL2N5Zwu4X+eyRkQAiNjT1UVYlsOzpaxvjx0XR3t9DbG8rx431otVLkciVXXjmbrKzxgAyXy0x39wAdHc1ERcUTGqrD6bQxNNSK02llaMhCXd0p/0KoVCoy+qoqGBrSce65ZxETE4xS6ebo0ddQKJzI5YJesViET3hXl4ZrrvkJ48YpOHjwcXQ6kbnv3x/EVVfdPYZfveCCC9i9+yPOOEP4ndjtI4uyABkZOQQF6dBqI0hPvwyDIXW4AlUA+eHDR1i3bg3CoVDCH//4MFKpkl/96pc4HBZ6evqIiAhBpwtg+fLJnDy5F7fb6/d+T06OQadT88c/bqejYyJRUSe5886lOBxmnM4h+vvFarHFIhZPJZIRymZ0fPihqBmYODGPoCAdRUU3jrmeI7Oy0aDuYSRzH/mbVGrD4wkYvl8gJcXEqVNacnNf4ZxzfoFCEUhERDxSqRy1OhSpVOa/L7TaEFwu57B6Jf4rGTnwPwfY3xQ/pI48Fmge9XsLMPNfsN3/2fi6knxfjAb56dMnMn36RDIzE9iw4VnkcieTJrnQ6bo5efI5BgaSsVjakclUmM2DeL1uQMb27U8PZ1YjD6gY0L8uG/OSlPQsGzfexkcf+R7i0THymbvvFjysxyO47NDQLMLCQmlpqUb4WcsJD4eiIuFNnpqax/jxvycoCLTaPmJjwWCQodEEoFBUUV/fgt0+NLxND2q1lL6+Fvr7Zf59OxwWvF4HGo3Irl0uAawOh68E3ERSUhEOh5He3qFh6Z8Ui8WDzSbUK3V14pi3bz/MddddR3LyHWzd+jSgwmQK9y86+859TU0NwcH4G24IxUkMApT0hISEoNGEERKSxKlTHbz77n5yc3OZNi0LuTyAgoLdKJUOxo8Hq3WQwsInSEubxI03BtPQIKwRtNr+4YHJSWSkgebmbkCCXO7F7bYDWjo6JgISOjomotfPpaioG6NxiPr6KhwOG0ajg5gY0GoVXHHFFbz//q3s2DGXRYs+YcGCNWRlrePMM9chkwmQF0Duo0Z8HPeX6ZavW0eR4PEIwI2IKCcjo4Xdu88BJBw+fD2hoavo61Ny//2ryM2dgVw+dkTxAfc3NZA4Hf84/hUZ+eXA2V6vd+Xw79cDM7xe77ovve9W4FaAhISE7MbGxq9s63T8/fDRLnK5naAgF7fcMheDIRCLZQCj0Uhx8V5UKrGgFxKiQCLRDGfgUnwuiTA6Gx/7YK5ZI2HTJg+rVkkpKnqO4uKbCQ09QV/f19EqYznRrKwNnHHGOrZsKaW/P4OIiHLWrMkChKRQJhtZvHzkkZEp/f33a5FKw/F4jAAEBOhQq0NwOEwolTqCg5PxeBwolTpstj6cziHMZlHH73LZ8Xg8OJ02enpEk2Sf1hyEvDIyMpi4uCl88EElAwNOOjpMQAAKhRqFQonFIqGvbxCp1IpGA319Ms4991yWLl2K2Wz2z4p+9rOf8dxzzxER4aG7W4bFYvED+YUXLmLWLNFMQSqVMTRkp6enD7DQ0lKNRCK++8SJiYSGRjIwMEhlZbX/XKamphARMQ61Ws/AgJM9e3bgcHhRq2H+/LM4daqKY8dqCAwEiUTDGWfkEhUVx69+9RcaGiJITOxHo0nFYukhLEw4PILwrgkKEg20QeJf2PZpvB0O2LFj/bClLajVA1itepKSOnn66Ud5+ukL2LFj0ajrPXYGNvK67/evo2Q83HWXjM5OUChmYza/weuvx3L55XXcc88xlEodMTHTAE7b0n6L+CEz8hYgftTvcUDbl9/k9XqfBZ4FQa38C/b7/22Mzrp9ZvpyuYr9+3eg0VjIyLCjUhlpaztJePhMAgK0BAd7mDZtNv39UtLTzyMjIxOlMhCTqR2lUofVKvpPOhxmiooOsn37XEY/eGvWSNiwATZskLJ48XsUF988XJadwdgHdGz4nPScTnjiCTe+B35kUUxQDr4inw8/HOkelJKSR39/IDk5uVgsHbjdNiQSOVZrPw6HDYvFiNHYCkgJDAzE7Xaj1Ubi9WqwWMJIT7+AqVNzcLsdlJeXUVFRhlqt5+OP3yAiYgiLRcnMmbl0d/cREWEhKEhFa6sYWIKDNdxxx11UVBRz9OhHxMRYCQ6GnTvdfPrpx+Tn5/PAAw+wYMEC1q9fz/r165kwwUtOjnB0rKiAoSE5BoOOlJRLOHWqmdzcbAAeffTXyOVOLJYhlMoQxo3TIJd3cPKkk9zcEFJS0tDrM2hrqyMmJpmIiCDUagNOpwmLZYioqEQ8Hg3p6Yl0dVkpLa3B7RYzjtTUcRgMkdjtFv70pzvQ6SIoLPycurqe4ZkNw7YLghf3afJ9/vBFRcKPfM+et1i8+FaOHVuNj0Kx2fTIZDB3rpOnnlrOp58u/ppr/2WrBvE34b/jU52M/G3q1I04neK4AgIO8txz0Xi9Ut54I4lJkyYhkaiJi5tFSEgcEyaci04XjdttRyYLGKPyGU2tnKZZvhr/ioxcjljsXAK0IhY7r/F6vce/6TOnOfJvjtGLnXK5hIceWkNw8BABAcFUVxezbdsOensVmM0B/PGPTzN79mx+9rMAXnpJz003DfH0056v3Ogul42OjnLs9kFqa3dRWfkWv/hFDb4HeHRRx9q1fAMP/tUMbERq6P0K565W9/Kb30QBcl5//c9UV68eZbokssKf/lSBWi0qHFWqYBQKHRpNBFFRGQwMaFm//nlsNglSqZR77vklU6ZMpry8jMceewKbTYLLpeDuuy9n3Lh4hoZaAS8aTSS1tcc5dGgI0HHJJeficpn4zW9+g8PRS3IyWK2xdHZKWLgwG5NpO6GhLjweYdhVVycaT3R1gcul5o9//CPbt2+npGQn54qKefR6qK4Gp1OGSuWmqko5rCTSsGTJEr744mOyspy0txupqXGjVGqw2QYJCxO897333s/s2YtxueyoVEHYbIOUllby7rvv8+mne1GrZUilUp544kmeeGI9xcV7mD4dYmJArdaSmTkFu30It9sx3KDDRm1tI11dMDAgZglSqQKVykt5+XqamlYyc+YrnHPOT3nggX7/+Z8z53Xy869hbKbt48Hhq4uY4rparWEAnHnmDubNEydlxoyXkUqPs2zZI/5754EHpDgcYymvoqLnOHLkJs49t4iLL95Cc/MBlMrBYTWREdH6T45arUMuV6FU6ggKSiQqKh25XI1criYhYQ4qVZCfojlypISioiPMnbvU33TFJwrYv38/hw4d+v+mrP+Hlh+eC/wVsaK12ev1/t/fe/9pIP/mGC0/NJtNLFp0MevW3ev3Vzl48CDFxRXk5KQze/ZsbLYBIiMn4PFIxwCyy2XDaGzEZOrmxIm3OXHiXczmTrZv/8so/xTxwKWnSygv95W5fzMPOvKal+nTN3LBBevQauMZP/4sXnjhxlFZvq/0Xkd/v52nnhqhUmbOfIPDh68kIiKPpKTf8otf/ILMzOkolbrhYpWDSCRw8OBnlJdXYLUaqK+3kJ0dyqJFM2hpOUxjYz1yuZrGRjkpKbOIiclmxoxcZs+ejVyu4osvdnLnnb9CLncSGOhh2bJ0CgvzcTjsnDgBWm0IaWk2kpKkyGRmbDZobBRAKZNBe7tYAK2qAqs1kJtvvplt257i/PPFGRgcFEZafX0C/FUq0OuVlJXJ0ekSaGvrGda995CcLEMqdaNQSIiKUuDxOIiNTWHq1IVIpQq02igOHNjF3r2FDA056eiAKVMMgJ3Zs89EpQrn2Wef9RdIXX/9tZxxxmx6e2vo7DyO1ytUSV1dDQwMCB5dq1Uj2r3Z/QOsVOri6adn8s47v2fPnmXMnfs2Bw5c+g368C8Due/6j2Tgq1d7mDfvHh5/PJ5jx1YTE7OFv/1tIn/720yee05OdvYzLF8u1Ekg9PoOB0RGhhEaGonN5uX48VrsdlAoPKSknMVnnxVhswn/9Hvu+S3p6WnU1e1haKgVq9WIx+PG43FgsXTjdntQqbQMDpo4duwELpeUjo5AVqy4lpycRQwMtNDaaubxx5/A7fZiNKrZsGEDCxcu8X/L/8bmFD+oaZbX6/0Y+Phfsa3/9fAZbFVVOZBKg5g37yr/IpDJ1MHf/jafV165iOXLD+Ny/RGpVM5FF13LBx9ksWqVBJOpA5ttgOrqTzh+/DX6+1uw242I8VoyxpVQhITKSvEgj4D4V82xRkKA+LFjq5HJhOFVWdkL5Oa+QG6uhNdff4rqarGQ2dkpw2KBlJRnqam5lZyc3TzxhJFjx86jq6ubkJBMpNIa6usHsFp7cbvduFwm5HINQUFS9HoHISGtBAaC221k+/Z2Zs9eydGj7wxLEa2cOFFIQEAVGze+xHnnLea88+axY8dWpkxpJjhYTkuLmiNH+rBYAoiPl6FU2omLsxMR4QWUFBW50WhcREW5kEigpkYA+vHjMHMm7Ns3hM1m4+c/f4rDhx8jMbGFkBAdjY0KVKo+JkwQGXxjo4PMTAdyeRXjxkFLSzzNzXq8Xjludw92u5feXgkyWQAzZuSiUoVgsfRQX1/N0aMFKBRepk/3FUf14HaDw/EeoOCqq4SCJiBAgUTyKTt3foBUKgZMuVyJx+NGKlUSFhaCXK7EYrHj8XhRKCKZN+9t8vMvJyKijrVrD5OT8zz33Scee5tNyENHnA0l/mtuMJTT25s2qppzbH3Bc89JeO+9O+nsDEdUzN7Eq6+uZdOmBTz9tI2yMi0ffRSH2dyCyTRa+uhGodDS19eOVOpEqQzm+PEAPJ5T6PU2JBI9lZUSKivNXHjhEmJjs/0Vm76w2YTySi4PYOPGDdTXt6LTabDZrNTVnSI3dzESiYSKinI0GjtarRaJxEJ+/maSkgRdI5MFYDBMHJO9/734tu/7d8Xpys7/wPgyR240NjIw0EJFxVtccskGPB4ZMpkXo7ETGLnJjMZmioufpb+/EbO5FbfbjtcrQaUKobPzCOBh9+6/kZ9/BdnZzyGTKTh8eAVeL/zkJ0Ns2aIY5jm/jk4ZqdwcXX492hQLBKi53SID83ohP389tbWrSU7OY+3al0hKyhrm7QNxOi0MDDQMV9+BUqnD6zXQ2dnNuHGzUavD+fjjZ+ntbcfjiaCpycull16ESjXEzp1vEhDgYHAQ1GodjY0mpkzxdZQXJe6iKYSOM85I4tSpSpRK4f4XEWFgxozriIzMpKRkL83NO1GpNEREnENT024aG7vIz+9nyRL46CM499xb2bRpEy6XjU8/vYvy8jdwu5Xs2dOOUukkOVnw0d3dYDKpcbncTJggwWi0Y7OJIqH+fsjMnMX1199ISkoU9fV7cbvtHD1aRUnJAeRyF4GBgr9XqydRVdVGcLAHu92CROIhKgo0GhmZmdMJDQ0jImLKsK5ag8nURnd3Nb29HbS2tjA4aCRUOCcQGCj+H60Z910zX+XtlCl5zJ+/jry8sfTY9Okb/L09v7xGsnq1m7y8kVldVtYGpNJ7+etfP/BTGLt2vcc999xEQsIgQUHQ3KzgvPNmoNV66e3torq6lsHBAOrqwrjuupvYvPmV4UIx5beuxNy3bx8rV940PJjJxnj9HzxYxG233YLH42F0HwBguJT/JDbbIAMDTQQHJ3xFTeMLH+gbjY3o9YlfAfPRcsmve230zwUFhf9UkdLpEv3/snC5bPT0nKS5+SDHj7+Nw2EmJWUJW7bcxt/+Fs2qVWJx0mTqYM+e9zl6dAtBQV50OilyuR6FQoHHA42N+5BIPERGZpGQMBeTqYOamm3Exc0nI+Mypk69mq97UH0PqFLZi8MRig/cIyIqSEo6TFHRTcyc+TJeLxQV3cCMGa+wbNndNDaKwSUoSADq00+PAMif/pSMUqlFrQ6lrc1CY2MnEyYs5YorbmBgoIlDh/7G3r0HsNkkBATAWWedi9EYy6uv5pGQIEEiUTJ3bjRWq4WSkna0Whl2u8PvJuhyyamqEoAYGKjEZHKQkBBJbu54urtbcDqHCAlJZ+nSO1Grw6iu/oCurmqs1k7mzPklSqWOAwceITDwLF5++V7Gj4fPP9fw9NOf+B86o7GBnTvvorf3JHV1bezY0UlUFCQni+8sPNEFcDc3i8EsLU1o6m02yM5exsKFK/zFMZWV9dx55+9wOCzIZEYWLoxGpwOTqRm5XNApPn16QIAoohrR548ecBUMDTn9ih2frl10XRptl/A8y5ffCah48MFO/7WZNi1vGLRH1Cmip+doGwYRUqkHt1tKcnK333DLl8HPnFnKwYPZ/vfu27ePV199BuhmyhQr4eGRpKQso7f3JLW1hfT2OgkNVRAfPxGnM4nq6kFmz17IwoVLvnX2+/fqLv7e33zg+m0zcpvNSG/vSVwuu/91H8iPfn30a14v/p+PHj3KnXf+6Z+yDTgN5P8lYbMZMRqbaGsr5vjxd1Cp9EyfvgKtNhy9PoHCwjIKCgrIzk4lI2M827c/yu7d7+NyuQgIgAULLiI1NZfy8pfZuvXnFBbexKWXnuQPf2jg6NEtdHeXkZ5+PbNnryE//0nOPPNevm5RS8RoX5WRTG327Lc4ePCyUUctRSp18eSTWZjNHmy2IWAau3Yd5uTJR+nuvoFZs/azbNmfCA4WGdDx4y04HALcZs+eSlxcIC0tPVRUVCI4dikxMdF0dHSj0djp74epU+eQmzuDqqr91NYeQSYTmX9fXyytra0kJoJOJ8Xp9NDVJYphZDJISQkhN3c5GRnXEBMzjd2736Kk5CUMBj3BwWqys1cSHZ3Fp5/+loSEuRw4UMeJE4+jUsHevQby8t7xP3ACmJ5ErS4nJMRBY2Mjg4MCwDUasc+QEDGwSKUiG+/oGHE2zMgIR6MJQCaTodNFEx4+GZcrmc8+O8b+/fsICgKTSTRqcLkseDwWUlPxW/oaDIKmmDIlC71ej0Qiw+Nx0tbWQm1tA14vyOVeP4gbDBpaWy24XAz3LY1BpWpDpYIvvhAFQSMgPtK+DyAtbSMnTnw5I/dy7bWtbN0az6lTu0lJWTzm/pFK3bjdMr4uOjrKaG8/QlNTPoGB8URHT8XjcVBb+ykWywAhIQl4vS6CghIJD08lJmY6crkKlUr/H1Nu/+XMG759Rv7YY4/xwgvPEx+vpbnZ/L2MvE43lvgPDx+AnzjxLq2tRRgME5k//270+jg/R+5TtGg0Fg4eNHHhhRfS2mqgrCyE6Gg1AwODpKTUYLOVAXIKC2/C45Hx7rupXHzxPTgcJhYs+B1ZWdfS0lLEvfcmDu/dO+b/9PQNdHSIJhA+V0Nfg16VqpdDhy5hrBeLi5ycLQwO9iCTydFqZcjllSxbFsDSpXcB99HY2Ep/v6AOpFLRgNdsFiqLzs6TREVlAA7UapBKvdjtbpzONsCD0ylDqZQBJ6iubkOjCWHu3F9TW9tCZKQTs/lDMjNFFpycvJiOjnJksi50OrHAtnt3Pzt3HmDFihkkJTXy2mt3YTK5CQlxo9GcQUJCCDJZJW63md5eFc8/n8fSpT7jLisFBQV+n5Wrr76aoaF2IiO9pKUFMH16Bs3NtdhsVoKCxDFoNAbs9h7UalH5OW6cMOhyucBkkpKbeyk2mxGHw0R7+xFsts8IDu5j3jwzAQHQ369Aq50F6Dh48DCdnQ4sFhMajRyDQUJ/v5NXXvkFFRXXcfbZX7Bq1Wts3fpr9u9fRkpKHlOmrCMkJI45c27gD3+YwYkTy0lLy2Pp0nVIpW1jAPzuuxUolfi15ODl1lujcTq7/L1KS0pW+yt2J026iKuvFr1UAwKCxtzDYjH7VU6dimP8+CV8OaKiMjEYJhIdnU1t7U6qqz8iOXkx2dm34nLZqa3djkIRilqtp7X1GN3d1SiVGvr69PzsZ7/B5fL+2/t1flPm/nWvj35NLlcxd+5CXnjhJZqbzYDCX2j2Lzmuf9mWTsf3Ch+FcvLkDrq7y1Grw5g//24MhpSvFEgUFBQgl9uZNMlLe7uStrZoFi06j61bt9HfP0RKyhABAX3Exi5GpdKzZMmn7N59FkuWfIZUKmPevN/4H7DGxnwOHbqd0dmUROLi7rsV1NWJBb+uLtFMOTFxnz8rt9v1BAefwGgUOvHc3I0AFBauobBwxRj3w9ERHi6ySqMRAgLUmExWXC7BaUdGyunvbwI6/eZZUikMDnoICgKxQOYmOvpcFi0STS8GB5uRSE5RU7MHrdZOf78Bj8eK0ViOzdbl70Zvswnuuq+vgUce+SnnnZeIXG4hKkrK0aMeWlr2s3//pZx7rprZs9dSXt6NSiVmN3190N1tpr293X/+vd4hZs70YjBATY2L6dOjmT49igMH9tLbKyEoyEFMTDB6/Zm0txfR3X2KwUEhWVQowOvtpLz8TRQKIaOTSOKorpbR2NiCx+M7H05CQgqRyQKIifECNkBBf78Tl0ucm/Lya/F6ZezcuYg//amXAwfOxeuVUlu7mlmz1gEtNDW9Q2Xlg4CcysrVLF++Drl8pAuUb8G6uHi1v/fqBReUMGVKCg0NXZhMsHjxuuEBQMwEPvnkL9x8cwCrVsGDDwaxYMFb7N9/KTk5eaxa9QEtLQc4dOgcYmOzv1bvLZeriIrKRK9PwGhsorFxP1VVHxAbm8OkSZeg04VTXb0dh8NIWFgSXq+XQ4deIi5uEDDQ0GD3D6z/bbFgwQI2b978g8wsTgP5vyl88sDW1iLq6/diMKQyd+6v0OkivrHCzadoKSsDj0fNggXnMX36RO699wLq6j4gMDCKzMzzUSqDaWs7zN13H+P6658mOnoa6en3EhWVCcDJk59w+PBThIefRVfX5OGte5g6NY/qakhIgIGBFEpLxQPvs5/1ZXGiiETojX3tvnwZenHxas4//168XpBKpchkChyOPhwOJwMDYk+xsW4MBjkWiwuNJoCoqEkEBsbT2dlEY2MRWq0APpdLZO1HjiiYOfNcYmPP47XXXiQsrBOJpA+JREJoaBYlJUUolUNotXYUCgdaraA22ttF84isrJHiGIejF5UKyso8DAxATIwVj8dKdbWUjz/eyG23/RKFwjFs6CXokBdffJFLL72UOXPmsHGjjvb2IaKjYeJEL2lp8wkPl+Lx2OjttaDXB2AwRGA0Hic1dTowmcOHt/nb1yUmgs3Wjs0Gx4/30NAwiEIhqBe53NfmLppZs26go6MChUKF02nF4/HQ31+GxdJGZCRkZuZRViYac7z66jqyswUHnpGRR1QUw12Vqv3e4JMm5fldJn3XcPLkvOEyfCldXelUV+8kP/9JWltPEBwcDvThcLiHOzKBRBLKm28m4Xb7ugGlsmFDGe+8EwH0YzJNICIinZaWAmprd5Gefvk33v8qlZ6oKD16fQImUyenTn1Ge3sJaWmXkJoqetP29tbS01PNuHHjeO+9Mmw2K1arh/r6evbt2/dfC+Y/xHGfBvJ/QxiNDTQ2HqCu7jPUagM5OaswGCb8w4q10SO6Vqtl375t1NS0IJV2kpm5kAkTltPTU0N/fzVJSYtpby8iOnoaOTkr/fSMsATdidfrprtbeHUASCRupk5dR0WFjIwMNzNnzqaw8BX6+q4nMzOPrCyRmUmGaXSR1UlHSRkFUuXk5PnL7X0dfkAA6dGj6ykrW01OzlYefLCCoaE2BgebsdsHaG4+gMNhJjFRDaiRSOazbdthbDYJHo+cceN0vPzyWjQaJ62tXqZMmUlGxjJMpnamTjXR2VlGZGQw4MVicVJVJWiOtGEjR4dDAPv06aH09sbjclWycKGo0gwPB6czFIcDhoa6yciIweUSPHJMDAwNeSgoKOCuu+5i69bXefXVZ1Cri0lICESr7SQp6Ura2gbo7d2FXp+DTmcmJCSJjo7jxMaamTlzNpWV3aSnj0elasZsbgWUQDcRESN2up98sp7KytXk5LxEYuL/4fG4USp16PXjCQqKwGAIYPv2DzAYIDh4HTfdJDLsgQFIT1/H8uW/pbFxiB7hYECijzlDDEi+xtqpqXncdZdQrggOHEBCYeGzdHaW8vHHf+Xw4WvJzn6R5cvXoVR6AQcJCblcdVUrr74aB0jYtMnLvfemotXqMJtNWK1DpKVdQXn5VsrK/kZcXO4/9E/xWdnqdJEYjU1UVr6HWh3GpEnnERubQ2RkOiEh4/jVr1QcPlzEjh3V7NnzCbt37/7/xmP8XxGngfxHDJvNSE9PDVVVH+D1usjNXYteH/+dPCZ8N+6aNdcxblw/BoONuXMvIzPzejo7y1GpgjAYzqa9/QghIROZOvWaMQ9TU9NBGhu/ICRksr9kGwQAJyaO4/zzb6ei4iHS06ei1/8fKSm/Ji1N8L3Hj4usNjx8HatWrWPv3vVUVYnPx8U9R1rar7j88osZP17Ug8lkCpRKDTU1dWzZ8iJlZb4M/zpOnZrKwEAzLpcVUckXxhlnPERUVAZVVQ2UlbVx1VVTGBqqISJikK6uLwgLs+NyKamrCyA2VoLdbqS+vpTW1iIAOjvtREaGUl0dhtXaS26uAHOnU/xLT4fo6FzS03Mxme7BYvEQGOjF5ZKi15tQqdRkZ09BpYqkqakNuVyoUfr7tWi1Wh599FHmzJnDpk2v0dJSRH7+YwwOdrF37ys8/vjHhIebqaio4YILbiU8XEJExESCghKRSD4iIiIQnW4KzzxzDI0GIiL6SU0NpbtbWCdotfirXouLb2T58tuRSrWo1SHDtQFGOjuLWbhwpB2cxzPSUSg4GBwOMVOAEd22Typ65Mht/k73VVVrcLnW8dln64fvCi+LF39Ie3sRAQEaDh++Fo9HTnHxzVx55R8wmZqQSsOZP/9XLFvWT0PDXg4evJrrrzcilwcQFBSLRCLBah2kubmAiRPP4+TJ7Rw9+hILFvzmW6lPfBm6ShVEV9cJ6uo+R6eLIiZmOsnJZ5CQMIf6+oeJizuOThdAVZXjv5Zi+SHiNJD/SNHRUUZd3W56e6uZNu0n3xnAR8cXX7xPbOwAUVFe6uu1tLaG0NFRhsXSSWLiQhobv0ClCiMj4/IxIG4ydVBV9SFKZQjNzQe46KJiLr30YWw2wQGfe+4mwsPTqK4OYNq0GWzenENBQQGTJ2uprX0Bna6ew4ednDihoqSkn6Cgu4DVgJzW1pXk5cnJzs7lnnvieemlYK68shmJRMprr8Uyc2Y2OTnPU1y8kpycPHp7TxIVNZXp01cSHByPRmMgLi6XXbve4/777yUoyEZsrImpU1Nxu72AlcFB6OkJwGBwEx0dR1NTAUZjrd/etb8f3nvPhMHgYP58wcdbrQLoJk+Gnh4lHR0xTJjgIitrOkZjHOHhJk6d6uLIkXaWLDmfmTNnUlJiQqsV1E50dDi33baaJ598ErnczubNz/L881uYM2cGbvc4amo+pL/fTViYGbk8iNZWE3V1+UyYcD2hocns3fsspaUOXC4pwcEvk57eh9Wqw+HwAuOZPj2LurrjGI1dpKbmUV29mpycTWzf/thX2uZ5vQLEd+0SmXtqah5Tp66jvx8qK9fT3Lya+PjnmTr1pyxePAO7vcFPrWRnjwzaICpSS0qEz4pU6uKcc36KRhNKaOhksrOfo7j4FnJztxAQEMgbbzxDcfFK6uqMPPJIG5df/n9cffVfuPLKN9DrE8nMvI7i4o2YTN2Yzd3ExGTT2XmC6uoPSEyc97ULn98Uen0SOl3UsEx2JyZTB8nJZ6BS6Vmw4Dy2bn1z2GNf+S9dLPxvj9NA/gOHy2WjpaWYiorXSUpayMSJ52IwpH7v7XV0lBEfP4jFouLwYdH7MTlZQV1dA3V1VtrbtzF+fApTplz8lWltT08tAwNNRESk0dJyAJksCLfb4/+7UilExxKJ4LtH83kNDdPYvft3BAbWsHjxFEJDz8dsNnPwYAvbtsUzf/67NDSsp7FRypYthXg8AsABvF4phw5dwbPPLuKpp9zodJHIZG8RHZ01hvKprPyAgoL7yc1t97d66+o6RWhoIpBOWpoEp9NNeLgOo7ECq7UNq3UImQwaGuD4cQ3p6RbGjxeg7nAIaic5GTo7obQ0iHPOUVNRsZU5c36Bw2Fmz57PqakppakJ8vOfBQawWmvQ6UQWn5gYg9lsRS63k5nporPTQn7+FwD84Q+vExPTjVxuxWCQIpGYUKvVpKQsxGRqp7b2JM8//zly+SChoVBQABqNnOnThSNlVFQSgYEeFIqZvPPOp2RlrWPq1HVMmpTA739fh9cro7h4NcuX34HN5iQ4WFwnX+ZeXb2ac85ZR0ICfPqpeK2p6Vaam1eya5cRqzWMiIgTY4q2BF++mcTESBYt+pC9ey9gzpw3CA1NwGCYQknJGyxf/ibLl68hNnYufX1GiotX4vXKeeWVUB57rJeAgEBstj5cLjtyuYqUlDM5ceI9vF4vHo+D6uqPmDbteg4ffoYjR54nLGz8d7KolctV6PVJZGRcic1mpK7ucwAyM8/gmWee4/DhI/92GeJ/WpwG8h8wTKYOGhr20dCwj/T0q4iLy/leJb779u0jP/8LMjNjCA7uZdmyn5KYeCUFBXtISDAD8Nhj7xIcbCUkxMlttz39lQdHZOPvEBwcT13dZwQGxqJUaunv7xx+RzCRkRm4XHbUah0mU/uYzyclzePssx9j1iwDra1JjBvXRWGhkTlzmpg5czNZWYlkZ78MwJEjQ8MZeSsSiZTXX4/lqqvaueyyrV85LpfLRk3NTmpqdlBT8zEKRYDfitblgtdf/xNNTatJTt5EbOyvufTSTCyWNmprKwkIEIt6tbVQVRXIhRdqUKst9PQI5Ut7u5D/Wa1w7JgUudxLW9uHpKYuoq3NTknJy1RWtmM2w+zZMDDgorx8p5+S0WjAbO5n1qxstmx5l5MnXUyaZGX69IkUFBQwOGhHrbYSHQ1NTR6ys6OQSEIxmSqZPv0n5Oe/TkyMGYtFZNNxcWCzefB45rNo0XyGhj6jt3eIvr5oAgPtuN1iwBkcbGLu3G3k55/HBReUcdFFL7J58wYOHTpIcjJkZORRXi4WntVqQaOMNDwW6xbC2EpCV1caUVGziIiYglqdR3r6OpxO4S2zcOEazj//lxgMabz11mNs25ZDZmY6M2cK7j0iwoDVWsS8eW9z4MBlXHFFEzpdJHFxMykvf3tMqXxQUDR6fRxVVR9jMnURGjqBOXN+Rn7+Hykp+Rvz5t3xne99H3+elnYJNpuRxsYDJCREkZt7E0VF5X6q6zSgnwbyHyRsNiMmUyf19XuRSCAn51a/YuS7hq8EOTx8iPx8F7fd9udhPa6N6GgLQ0Md7Nx5arjjjoKqKiWlpa2cc87Y7ZhMXZjNPSQkzKe09C1iYzPQ68fR2+uzyBEacrHomsE77/yG5mYb55xzvX8bcXG5tLYKqWJ9fQQvvLCITz7ppqtLxebNKv/i0wsvwAsvAIjVtq1bYazTsQDwuro9NDR8QVnZVmQyFTpdNErlECEhAXR323E4oKlJUDf19auYM+d2GhtrCQ52EhAgFlBbWqCvT8+sWUb0+iFAhU4XSn19B7GxHqRSUZATGOhBrx/CYgnG7Z7AM8/cj8fjQaMx+Tv8BATAtGnROJ09yIefDL0+hrlzF7J582b279+BwVDB3LkLUaujeeaZR/ycdEqKhLKyNpKTe/joo1MolWFMnTqH997bycSJ/YCgRdxuDzExvaSlpaFWz8Nk6mD37seIjITeXuElrlJBZOQvefDB4wwM1FNfD6GhFnQ6Bb29TqZPX4dEIuSDcrmOn/50G3ffXUJLyzJeeeUnHDlyBWq1BbNZR3R0LeCmu/sELS1yPv9cLKyKnrBmsrMvIyYmm5tuysXrlVFWtpr589dhNkNXVxHgYMmSq7n22ndZtepNAJKSFnL06Es4HEPD5yiJnJxVHDz4BOHhE/F6PRw+/CRz5/6a+PgF1NR8TEzMNCZO/NJN+S3DB+hyuYrOzgo++uivPPXUS/T3y//tuvL/lJD+47ecju8SPT3VlJZupbT0FQIDo5g06cLvDeIgtMvgIjRUQ0ODhvLy7uH9nKSzs4Jx4xaxYMF5uFwBlJXJsVg0X+EOfUqV8PAMBgfbARlWax/NzVW0tXVhsUBj4yDHjpVSWFjGs88epLW1nrvvvpt9+/b5t7N2re8n0cfTZjtJZmYvs2YZUSptw8cqBp9Vq1axatWqMZ/3xalTu3nhhWt57bXLOXToJWJiZqHRhNLRUUdfXysaTQJ9fUoOHIDo6DwkEhepqXm43aIDPAygVgtpYWMjhIcbiY8HCCYxcT7BweOIi/MQEiJ4coNBZO7x8Q7a2hLYsWMfISE2wsMlqFQKcnJUaDRx3Hnnr8nIiCM4WEdkpJSQEB06nQaXy8aCBQtYu/ZWoqKi6OmpZcGCBdx55/0YjQoiIsBs9hITIwcCiI520NRUiURynAcffJC2tnh6e8WCpiihN1Fbu4Of/1zNjBk3UlGxh7i4a9FqBYgLpU8n+/Y9QnPzATweF0lJC5FIdERGKvB6FZSX3zK8iHkDarUOh2MAgyGI1as38eyzi9m48UoKC5/j6FErl176ChdckIfdnkVHh6i6LC9fz2OP9fP7319OQcEWsrNfQCJxkZDwPG43NDXpASednaKI65VX9vqvpVKpQyKR+pslA+j1cSgUGlJTL8Rq7WJoqIPu7gpyc28lLCyFY8c209JS9L2fAxCNJxIT51FXJ8Xj8TBhghSp1OG/7/6X43RG/i8Kny68rOw1YmKmkZp6Hjpd1D/tlubTjldXO/B41MyZM4eOjjJqa3eQmno+BkMqCxakfmOhwb59+9i7923Cw0+Sk3MJRUXrycy8hIGBVsrK9qLVChrBZFJw9GglMlnrsPWoEo/HM0YZsGmTrwzb5e/+YzJBZ6cTkDFnzhx/9aNK1UZrq4xt27b5O9B3dJSxffuT1NS8yief/Jny8jeYMOFZbrrpERwON62t3bhcghLR6XLIzCwgKWkdu3ZBdfVqAK66ah2gJCYmG602gsmTG4BSQE5kZApxcTOw208yMCCOzde/c8IE6OiQ0dZWRUzMAEajjClTjNTX65k+PYSf//xlDIYU3n//NpRKDQ6HDJVK7Zdbgsg8s7Ju4OjR56mubsVicXDZZfcxMLCDxMQ2KirasNmceL0eoJdjx0qRycqx2brp6hIGVrW169myZTXz57/LgQPz8XikvPpqBC7XVrZvX0xx8edotSV4vUOAm76+Dvr6XgJ0LF0ajc2mJyHhHFyuNl57LZacnCK02nOYOXPm8H1oH3W8Yw2err32J+zZswO1uouKCp9CZi5m8+VUVq5g5sw3yM19HKUyijPPPJfW1s3YbGJwsdkk/nshNDSZ0NBEqqreJzl5sX+BcuLEZTQ07EWnS8TjsVFVtZ3o6GymT1/J55/fx9GjLwyrqr7/GpFcrmL+/GW89NLr9Pe7Ti96DsdpIP8XhOB5d2C19hETM42kpIX/si4mX64GmzhRT23tDlJSlo3J9L+u0GDfvn3ceusNJCb2I5FI0emm4PVKGRhooqHBTW+vibAw0UTh5Mlgbr99GQDPP/88hw4xJrtfu1ZkihKJl9zczURHz6Ovr57ExFYSEx3MmGHDbP6QwsJjZGS0MXEiHDjgprnZwv79O9iwIZK33kojM3Ma06ZtpqxMUCY1NbficNwLqHG5BN/a3R1AcnIdQUGCbqiuHlncg1+RlLSU+Pjp2O0mCgu3AwFAKErlZGQyDQMDBRgMMQQHK4iNDQJUDA210thoIzlZLL5Om5ZEREQvU6dOQqORodOFY7MNYLN1I5NJgSECAxMICoocA4Z6fRzt7c1s2vTLYe9sOU8++SA22x7U6oNYrSCRBFJdXUxAQCNVVS70eimTJwv55vHj4nvv338Js2dv5dCh6zjrrP20tGg5++xrWb78J/T0VNPXV8drr91NZ2cpSiUMDg4N68IdNDe/TFraR9x4YxtGo5LHHgtg7dp7mT9/OS6XnbvvjuGVV8L8xmoADQ0HCA3t5LbbEhkcdGOxvE1FxWWkpo40+zh8+EoyM6/n0KFAjMa3mTdPfHZoCCwWj/9ekMsD0GhiGBxs9w8ccrmKmJgc6ur2MGHCMk6ceBO320VNzU4yMi5n6tTraG4u5Pjxd8jOXvFPtXVbsGABzz+/5T/Ce+U/JU4D+T8Zvky8q+s4U6Zc9rU2l/9s+EDaaGygtPRVUlPP/1Z0TUFBAVKpi8hIObW1EurqXiMtbRHt7Q3k5x8kIEDwtrW1MH/+Jf4H4uuy+5Fs3MvPf76bmppjpKQsR6+Pp77+C7q7iyks/AsA06cLXrqpCZKTPej1h3j77d/j9copLV1NRMQ6Jk0SUrspU/KAQMzmXgAqKnSkpPRQVPQkxcWrSUraRGxsHq2tQpaXkLCQkJAYAgL07N+/HofDRXu7C7e7h337trNgwaeAA4hBq5UxZcpZnDr1CfHx59HevgWbTU5fn5pZs8xMn76C6up30Wgu57nn3iQ6uoOhoRZiY2dRW/sJUqkKq9U8xhDpyJHjHDrURFCQkaSkEPr7B3n//b3ExKgICQklIkJPY6MFlysAlcpGejrU1bkZGpIwdaqXtrZn6ey8leTk57n00uc555zf4HZ7eeONOBYvvn04w03kxIlOnnuuAb0ecnNF0dL27Y9w5MgqIiLq6OxMJjMzj7POWodMZqWs7E5qax/H5XLz8svNeDwSnnnGy8aNglaaPbuOSy65B4MhnaVLf8WCBXp+8Yskpk9vRaMRBV7h4S9hNofQ0uLE6bQyMCDWITQamD9/sf9eUKn0REenU139Pn19df4M22BIZerUmzhy5FmiorIYHGylp+c4ra1JJCefwcBAO+3tZZw8+QmZmVf/U8/JD1Uh+d8ap90P/4mw2YzU1+/F4TARG5v7T00Z/1G4XDYaGw/gdjtITj7jWz0EPpMtpdKGXu/kvPOUzJhxI/n5+6mr24dMJqxWKyr0vPHGB3/3wbj22kZeey2Wq69u5cknbfztbxfQ31+LWp2By3UB0dG9JCREIJUqaGho5dNPD2GztTB1qoPo6Mns2fMyb745jokTn+H889fhcgkfFJcrBIWiH6sVDh+WMnduKLGxPWP8s3/+cwVyOWi148jKOoNx4xbz/vt3YrN10tkpyviF2RZERsqoq4PgYDcdHSoWL04nK+s8wsLGc+DAFnp6JEgkMrzeamJicjEaS3j1VQsej4fp07sYN05DZOQU+vpOER09leDgSM466zF0uijWr1/P7373OwIDB8nKgsZGFZMnezl+PBCPR0VMjJXLLpuOy2Vm795SVCoHKpWTiIhg2tr0yOUeVKoWXC4J3d1S4uPHMzhYi9frJiQEoqNTSUnJZdKkC3j33YO89NIrTJ7cg1IpwPjdd8c2zZZIXFx1lRKdzkts7Mi18lnWjrZOkEo9nDpVgF4fR1lZEwcOfIbT+QzQA0hISlrHQw9tRy63MzTkweFw4HL1EBoKixbBJZc8z/LlP/Hvo6WliO3b1xEVlcGSJQ/5M2yTqYMDB/6MVhtJc/NhwE1ISCLTpq1ApQriyJEtVFUV0NOTxOLF150G4+8Y3+R+eHqx83uGydRBU1MBHR2lPziIA8Nt2zr81p7fJny0zDXXXMNVV00gPj6Hvr5TpKTMwu1W4nJBfb2O3/729//wgbr//hPcf38w999/AoMhleXLNwIaBgZKqa19iEce+YQTJ0I5fFjKc89dzRtvHKa+/l4KCtzEx9/GY4/185e/TOaqq0ZAvLdXhl7vxmoV+4iJ8RAU1AMEc+WVDUilbqZMySMgQBSwREdnkZg4l8OHNwKd9PYKiaLTKXh+vR6s1iC0WtFIQKl0MzjYQ3T0VE6d+ozIyCiSkzNpb99Jfn43hw+/TUODHnAzbpwMlwvAxcBAE+HhE5FIwGwexOWysW/fPu666y5crkHCwkSmOjRkw27XERPTR0KCHYnETXe3i+joJLKyJqFSRWAwRNHXN4BK1Uh3dxdVVQGAl+hoFw5HJzU1buRy0UnJZmukubmQw4efJySkGL1eQU1NKMePa0hOHk9m5qtIJC6iomqRSt3MmfMeqamXsnTpQ8TG3gAsJz7+Vv74x0F27/4TF1xQjLAh9rJ6tZSkpHmUlTWxYsUKjhx5CIdD1PKHh2ewfPkaNm/ezE03rWXGjEL6+jqJifmcM8+8nIyMXCZMiBlzP+h04ajVEfT3N2KzDYx6PYqpU2+gtvYENTUeOjtbcDrtlJYKaarLNZlt2w5TWbmVn//86q9dDD8d3z1OUyvfI4zGBurqPkevT2TatBu/U7HD94menmqqqj5g0qQLvxe36HZ3YLf3MmHC1fT0VGC1trB06WoaGvZz7bW/4eyzr/zO2xw/fglS6S00Nj5BYiLExbXw8MP3MX68lIMHfwnIKStbzYwZD3L0aCWPPKLgwIETw5WKdxIcnDBsINXvb3qck+MzjZrNY4/1k5NzJiZTIxaLBJ0uGZUqhrq6L2hvL2D7dlFtOGFCHlKp4NEzMzezatX7lJV9gsXiIjRUilQ6mTfffIzAQAvnnHM/b775R+x2KRERUjweMSOYNKmCpiYNoaGC87bZBmhrayQkJJG4OMGRv/rqq7jdFmbPFqZiNhukpsKxY71kZUFtbTcTJkiQSFT09Q1x6lQpTqeXigqhngkPh/h4O0plAiEhGUALXV2lpKZCS4sbvV5CbKwoyGpuLgSknH++HpiETpfLc8+9iNl8E2eddRMJCTBt2rkkJEygtbWFmppCWlpaqK7W0d+v4/777yI9PY3AwGhkMi+rVknZsAFuvrmHl16ai8HwC1JSbsduFxr06dNv9S+aL1iwALlc+KFXVy/i+PHFnDz5CYWFGwkNTfYnLDpdFKmpZ3Ps2IvU1n42hlKsrOxk8+aP0WhsKBQeBgclgJPBQT01NQ6am3WEhdmIixti7963T2fl/4I4DeTfMXp6qmlqyh/2gfh6q85/ZRiNDXR0lDJp0oXfOevft28fa9ZcR1ZWB1KpF632A+bOvZH6+r1oNJ3ceONTJCXN+1bbcrsdgGv4fxELF17ESy99SGdnJ5WVcs45x0h4OLS351Ffv5qEhGfp6QnGYKjlwIHf+50Ub7xxE2FhabS3FwEqEhNnAIUEBIiemUVFHcA1QCMAVVVe3O5WysreYPFiE6DhyBFRbVhTI9QsXq+c8vKf4HQ+TmJiKna7BZlsAh9/fITx43ux21VERxeiUnXQ0aFi/PghenoCuPjii2ltldPZaSIkRIbVWk9TUwNWq5nGxnY8HpefI9dqITZWqGCSkoQe+9Qp4bQYGwvNzV7U6n20tk7HZlNgMNiRSkWvTrlcik7nJiSkn5iYQdrakmlsrGHiRAsAKlUws2at5OjRN2lrM6JWg9vdR0yMBJOphbCwPoKCxOyjrQ00mhI8niaUymCczlQaGzuYOnUQp3OQkpJfUFISwN/+NoDXKyUvz8MllzzESy/dg9cro6dnFXD78H4nMWnS8jHX+tpru9i6NYxrrukCYggNTcZmM455j1yuYvz4M6ms/JhTpz4lKWm+f93m8OEj9PYqiImRcPy4HZermKCgAA4ffoxFiy7D4QiguFiKSuXlsssc9PRU/+Az2v/f4zS18h2ip6ea48ffRqMJIyFhzg8O4iZTB42NB4iLm/G9bvSCggKUSgeBgVK6u9V0d7toaytGrx+HRKJAr4/71ttqajqIUIeMhI+6WbLkHlavTiQ6Wnh/n3/+Ou6/P4QVK6r4y19+RkfHp+TkbBpuPPAKkyZdRldXOQ6HA70+hrS0iSQmCq7788/B7S7BaKzF4RA68chIaG+3ERnZi8NhR6cLY+HC7UilbnJyNpOT8xxSqZtFi7YTEKBDqQwCHFRVddHTcy+vvmpjz57H2bPneZTKUJYuTcNgCOaSS35HcnIYsbEJxMVJcDrrsdki/G6EXq+EgQGxCHvttdcSHR2GWi3oHJVK8NaZmeK9Wi1MmqSht9dFd3cFVVV2enokBAbC7NkTSU6eR3LyVAIDQ2lrK0OhOERPj4yiIkEJKZVGjh59G4cjCoeDYSAHh6MBMDJlipuZMyE6WtjdDg62YbVKCAkZh0RSwfjxDj9FBW7AQk6O0OBnZ2/kwIEHyMl5zt/WrblZFEDNm7fqKzPKP/6xk40b57By5avDjY/teL1u+vrqxrxPr08kPf1CbDYj5eWv+cF+zpw5OBwqSksVtLdLaWgIQaHQotW6sForeeKJe7jpprU89dTfOPfcX9DaWoTR2PCt78XT8dU4DeTfMkymDlpbi5gy5TJSUs7+wUHc5bLR2VmBThf1vaVaubkZhIW5KCvTERAgRaWaQGFhPidPFjFr1k+/NSWUn/9Xjh59gVmz1jB58oVj/rZgwQLuuusuIiLEthQKAyEhMG/eL7nvvqeIj9cBAyxf/nPeemslN974NN3dJ7Ba+/F6PchkE8nP/xsOh7CUjY6GGTPElN9qFRatcrkAc5+His3m4cYbn+ORR5K49NLfsXr1u7zxxk0sXrya48fbOHmyiJ07uzhxooLaWiGt6+lZgUTSxaefVjE42EJCQi6zZ59Nc/NhUlMvQK02IJG4SUgQ60hyOTQ364iKmoxcrmLBggU88cRzxMWlM3lyOBaLAML4eHC5tEilEBJiQaezYzT2ExHhobLSQ3R0Cjqdlfh4mDJlCVFRWQQHR+B0DrBggQu9XhQteTxgMp1iYKAEi0VCdTXDZmBuwEpsbABWqwD9CRPE8ZnNnbS3FxMVlUhYWC5KpZSwMAANO3a8yJEja7jyygY2b47k/PM3c889LqKjE1Eq16FSifPb1mb6yvWOispk7txfUVX1Hj09JzEYJpKZeS2lpa+OAVzhs3IWISHjaGk5SEdHhf+e8PHtDzzwAC5XCMeOqejo0BEfP4GAgHpWrryYBQsWoNcnolaHUlf3+ZgCo9Px3eI0tfItwmhswGhsRqeL+kHkhV8Xosy/g/Hjz/ze+5syJZ6rrz6H5mYLcrmVL754A7nchVRaybhxNxAXl/sPt1FZ+QFlZVsJDo4jO/vmr33P+vXreeedDxgaEn7XOTl5XHRRCAAOh6AOtm//K7///SrOOecgZ599KxKJFJvNyx/+MI+mpi1kZuYRG7uO2bNFduvzHYmJEXz0xInCr8TlApdLQ3//CWw2IwbDeMaNW0xBwdPU1Ql/GI8HtFovkyaB0ShonpSUPLxeJdHRZkDOrFmCWjCbu+juruall27hs89e54wzdjF//jt4vZ3ceOMKlMpWP7Uyf/5iJJILKSx8hcJCOVOmuOjuBp3OgsUip7XVRUSEOMaQEKG5h2wMBiNGYz1NTfuZMOFCnE4rSqUOqCQ+Hux2KSaTB5cLAgOtRESA1RrA0FAygYEDQBsgBo2eHjG4GQywffu9HDmymtzcV5k58yasVnHOFi5cRmHh9Xg8Ut56azyvvZYCCFnoxx9XUFr6HJGRXioq5EREfD0EGAypeL0OzOZuoqIySUycT3X1x/T2nhqTAOj1ScyYsZa9ex+mvPxVdLrwYb59RB6YlZVFQUEBubkZJCUFMDDQTH39XuTyAPT6JBIS5tDaWkxvbw3AP6Ux/1+N0xn5PwhRcv8qTqeJ2NjvZ3r1XcNmMzIw0MT48Wd+75vaaGygsvI9Zs++jHnzJuNygVLpQiYLprY2iCNHqr/xs/v27ePRRx/lrbf+wMGDT6FQqDjzzIcxGFIxGhvYvftBdu36HZ988kteeOEn3Hffb7HbR1qIFRevpq3t2JhtFhevwuORs2PHXNxuN1KpcG5sahJcd1nZaiQSCA31nQP8fiputwD3zk4Bkp2d3QwMmFEqNUyefAXNzfn+whSDQRSwxMcLyiMych05OQqWLVuHwyF6ggYFJVNb284LL9zJ0FAgR4++y65dS/B45OzevRSdLhFQMGFCMiIjFqFS6UlImItS6WXatHl+f5bQUC/gAgR/HhkpsunkZIAWZsy4jaio6QwNdVBb+xFxcXMJC0slJCSZyEgFCQkKjh7dRF6ekw8/XD98jHaczkoOHmzj5ElhAub7fiUl63n0USdFRWvweOQUFl7L0JAYPITT47tERJwCvEyePKo0FUER9fQkc/hwMJWVid9YFalSBaHTJVBauhWTqQODYSJpaRdSVvYqHR1lY94bFZVBWtr5DA11UVb2+lf4dN+sbcmS5URGpuN2Oxga6qCqahtGYwMqlZ7Y2BxcLjunTn12mmb5HnE6I/874Vto/KEKfb4uXC4bra3FyOUB34u+8TklTpyoJDRUjtFYj1YbTXx8GO+9p8dikf7dsmaf9lynMzN9egdyeTQSyVS02gM0Nxdy9OjzWCwt/vc7HHDxxYLTNRpFkU94eA3Llz/KVVfV8YtfCAvVnJwXOXr0JyxbVsXAQAcwRFjYmX4nv9TUPCIiVMhkIvsdHISoKAHKkZECzNVqUWQUHW1kYAAiIlIZHKzHYukmICACvb7P70GemCiqQk0mWLJEAKxKBVFRkcTFXcLddz+M2Xw3DQ23kJKSx4QJeZw8KQqUKioKSUzUoNNFfOX8hIYm4/VqaGjYi9EoOhB1dwtnw9ZWcawOhxh4zGYwm49RW7uDnJyVALS3F1NZ+RaTJ1+OVmvg8cf/j717z/NrvqurV3P++aJHZnS0KOuXSMQgNm6clJH2ej49uYecnDyioxnz3Ts7kwEJFRVe1q4VYJ6X5+Hmm6d+q76Ren0Subm3sH//IzQ3H2by5AtJSTmL7u4TVFdvQ69P8N+fcrmK5OQzaGkppKvrOB0dFd+4iK7TRTFhwtlUV2/DbO6lpmYnkydf6PdR8a0LyeWq05n5d4jTQP4N4buhEhPn/eDywi/v9/tSKj4QlsvtxMVZ+clPVhIfr8TjcTB79qWMG3fDP/RyFgZETjQaOVVV0NbWzuTJ7Rw79glaLYCc5OSLiIqagsnUwf79L1Baut7fhT0ra6O/E9Cbb47jpz91ArB8+R3ce6+be+75P+Ljh9BqISTExSWXrOOSS9Yhk8Xz4YePsWWLoGbS00VbObtdZNZms1BsJCUJ4ym3G+x2A8eP78TpHEQi0REcrCU4OIzY2C56emyUlgpqRioVnHJAAAQHp1BdPUhoaB8nTtwCyKmtXc0ttyjQatexaJEPEEWG7/G4x5wfnS4SiyUEtVoMNk6nyL7dbpEtm81iXy6Xr8+lxd++bObMtRQWPk1jYz5lZS+TmDifL744H69XBniQSFwkJeVRVSUGCKsVDhwQdFVmZh7jxv0fUqmd8PATdHVlINr0uVm7toaGBiUREQ62bxdeLqPfk5fnGf4uUjZv1vDnPyd8K8lfcvJiururKSnZglKpY/z4JWRkXMvRoy/Q2npkTMMIQbGsobBwI9u330tPz2QWL77qa/ej1yeRmnoeNTU7kckU9PbWcPjwEYqKypk5M5uEhCh6e2uQy1U/+FrU/y9xmlr5mjAaG+jpqfmnFhq/T5hMHbS0FJKYOO977dcHwrGxWiwWOx9//A6NjT2o1cHEx89i8eKl3HXXXX/3IRaZuoKTJ4c4eVJouydPhqoqgGVcdNEWrr/+PQICzqK6OoX4+PuGmzGLjFL05MxDKnWzYoUFnS6C7dvX8+CD/Tz00ARUKjs6nQDo/n7Baet0SajVEoqK1uD1yikqWkNioljwDA8Xx6VSCXCUycTPvb0ATXR2NtPYOIDJ1AoEEh5uAGz09kpIS9ORkSGAOTBQgG1//0SmTUslOdnMuHF5gIuYmDy8XrE/6fATYbO5KS8vob29kfXrn/IXrqhUeqZOvcZPq/T0jHD6er0AcYVCUCFSqTheq7WTQ4eeo7Z2BzNm3E56+mXI5Wqqq3dw9tlfIJN5ueKKGp54Io0bb/w52dkJqNXjCQ4eoauEN00HUqmC7u40BIh7mTQpj4KCdtauLSMwMMV/Dru60klKEtdh9Wopq1eLTkA5OXk8+WQWDz983z8sxpHLVWRlXUV4+BRKSl6ipaWIuLhcpky5nB07/sCDD946ZhtRUZlIJFM5eDCfY8de4ac/veYb96HXJzFu3CIGBpopKNjBb397C5s3b+SWW26joUEMop2d5V+haU7H18dpIP9S/Ds4cRjhxZOSFnzvGYAPhJube3A4THR1tfDiiy/Q16f/1gODT3Fw6aVXIpEY2L0btm+HkpJoFi++m6ysa/2Z/5YtG3jlleeZPbsIXwPmnJxNLF++jvvuk7NixRaiojJHAfRimpsf4S9/cZKfvx7NcI82k2mQjz/egK8R9OhQKsUip9k8IvNTq3XMnXs+0I3VCmFhPg5ZSnd3FRCOx+MlKsrk716vUIDJJGfWrLPp6ytHr1czbdo6zjlHwYUXrqOsDNLSApFKRZPop55y8oc/TKekpJx33nmNFStWjALzCLTaGGJigtBqAxkcFPy01SqycqdT9NC0WgXXPzAA7e1d5Odv4OjR55k48TxSU88jMDCU2bOv4I03buDJJ+2cd94zQBTQhFQ6RELCuX7JYE5OHgAuVxdZWUJWaDCUU129mkOHFqBSBXPHHTVjzt3ixWt46KEH2bABNmyAzs5TLF++DodjkNrah7j11hv+IZiLSs3rUamCOX78DTo6ymhq8vDuu+UUF7/B6tXXj9nG8eNGSkrCsdlCiYsb4tVXn+bRRx/92v0YDKlkZFxFTU0lEokJjcaKzWaiqKicyMgM4DSYf9s4DeSjYrTEcNy4xT/atE5IDctxuez/1D4XLFjAM888Rm5uBHJ5ECqVgbY2FceO1X/n7WzatIl33nmHK664lUWLbmXr1tf9mXxBQQFyuZ2cHAu5uW2cddbVlJe/Q39/E+++OwMQFYo7d95Jd3cVklFesF1dN+H1yikpWU1wsHb4VS97956DL8ucOXMLGzeW8sADHjZuLCUgAA4fFuC6a9fTTJ58Ph5PE+AiIEAAfXc3QB8gISfnGiZPjiA4GIKDw0hMhMBANRde+Ac8Hge7d29kcNCKXC4GAI0GgoO1REaa6OnBTw1VVl6EXO4kK0u0eisoKGDfvn2sXXsPR49asFgGkclUmEWTJr/GXK8XYC7WDcQgIrJ0IzU1OygoeIKkpIVkZt6MRqPlxIkdbN++lqNHD/Lee0I7bzJ18cwzF3LkyK3k5OSxdOk6PvxwPQ8+6KStTVyHnp704Wx9LcuXHwDgoovaAReTJm2ktHQ9v/vdfSxd+gkffXQ7paWv09Y2k/JyMSgGBVm+lZe3wZDKzJm3o9FEUl7+N/bv/4jmZg02WzgOB2O2MWfOHGw2NXV1Xnp6pFRXf8rLLz89ZiD88rYDAzOwWodoaOihs7MXrVaLSqX3g3lPz0l27XrvGweE0/FPArlEIrlcIpEcl0gkHolE8hUjl/+m8HW4/zElhr7wydsiIzP+qf3abEaSkwO57LKVGI0hVFZKcDhU39uv2QfomzZtGkPHzJkzB5crgOJiDceORREdnc22bb/mySfP5uDBnVx00abhd9p5880V5Obm4+tANG7coD/DfO21O3jwQSfbtz+KwVCJaFhRwTnn/MTP74r/R3eDX4XVOjhcnOLyN0kW/SxtRERMorr6I6ALCB32E1eSm3sry5evorBwK4GBTlQqKC1dz759TnbuXI9EIioNq6tfH1549HDWWSUAyGQDgJ05c+YMF1nZSE52YrNJASO9vcJDXaEY4eN9DaH1ekEjqVSCZrHZhmhsPMDnn99LePhEzjzzYYKDw9i06XquuOK3lJY2UVDwLJ2dUFy8Ao9H9O0cGhqhWbq6MoYXO8FnoLV//0Xs2fMw770XyxlnFFBdvZqjR8VMaPfupRw9uoEDBx5Aqz1MczN89BG0tiq+9b0hsufLUanCiI3tQaPxUF/vBMZuwzejW7FiDVlZF2C3Kxk/XvZ3G0DY7WqGhsJJSAgnMjIM8/DIKNQsuVRWtvLww6vYsmXDNw4I/+vxz2bkFcAlwH/1mbXZjHR0lCOR8KPSKTCSjQPfe7/79u3jkUceYvv2TQwMNLF06TU8++zLrFix5gdpgzW64OPPf36D8eNX8P77Vior69m79z7Kyo6Sk/MzAByOPiZOnI+Q8UlpaNAzZ87rFBevZu/ei4Ypl5V0d08CJHR3T2b79vXDe/JiMIhz46tSXLJkN21th/noo0d48EEnn366HptNACbo0GpjGBoSMxCVSo3X2wto8Hoz6OmpQa1u9nuM+HzOjx+/jSuvvBqAQ4cuQ3SW9yKRyNiyxUlBwXo0GrFoq9VqMZn6MJvNnDrlweFwEhYmZgX9/YI393gEkB848DR//auTL74QxyhoHgtut4vOziO8++4q3n//HUymHIqLV+BbZzh58mYkEpgx43XAg9cr5eOP1zNtmjgHanUvvkFv3rzX/ANjUdFGbDYje/fOGwZ6yfD7ThEZOQuIw2iEadMERRUX9+0re4HhhsiXM3HiNH7608Vcf/3yr72/fHLDa6/9Cb29OqqrvX9XKTVnzhyk0iAsFjUqlW7M++RyFUeOVNPeHkB0dCDgPN0R6GviX2JjK5FI9gK/9Hq938qb9j/JxnY0iEdGZvzoq+QmUwdGYxMGw8TvLTf0KVViY238+tdPfy8TrH8mHn30UTZv3sjUqTb0+m5iYzWMG7eI+vrj2O2NSCTwyivP0NJyK7fdJrw/PB4pvmwSPOTmbqS4eDXz5r3L/v0CTMHDb38r45NP1lNSspqZM7dyww3refHFlRQVrcZn5errEl9QsJNdu84YNuZaBwhwLS4OpacnkDvvzMFoLKSnp4OhIScHDrxMRcXVjBs3QEODnuzsTYSGTuTTTxdx6aXVvPPOJLxeGRKJi5tuUqJQXMa2bfkMDLQxYQJkZY1o1gWVEkhg4JD/vIy24v3VrxRIJIJu8cXAgBgA6urg4MFNdHcLieLEiRtJTl7HrFmRPPhgyzAoe5BIPMOAvcZ/fnJzN3LkyG0YDMfp7k7j/POPEhc3Y/gcS/zn94EHZH5728zMPKZPX0dZmQ6jMfI7D/YmUwd1dbtpajrI1Kk3EhX1zTPJffv2fasGEH/vfb57HMQM4H+5R+dpG9uvCZ9m+98J4g0N+8Zocr9r+JQq0dGBtLZ+dz7824avSOjrprVz5szB41FSUqLixIlw5PJwWluLUKs1dHTAjh3raWlZyTnnnGDDBrjuuu7hzLIPX2YJonOPAHEfpy7h448FiIsONtfR1VVOcfEt+LJN3yJgSMgkPvvsDH9BUn+/WGzs7QWPR4NC0UZ19V4slkFsNift7bBgwQ3cf/88GhtDhymMW1m0aC2PPJLAE09YuPDCDkD0Cw0I8AJuvN4h5syB7GyhhJHJhAxRrYbg4CAMhgz/efHNIqZMycPpFKA9OpRKkcGnpsKVV67i5ptlLFsm46yz1pGUBI2NFubOFRm3OD/iu40+P0VFa/F4ZH66Zfv2r6vWlfDhh+v99FRZ2WoCAiAz04TB0M6jjz7AxRe3Ipd7ufVW8z+8F3S6KNLSLmXq1Bs5depTamp2fGMRjy87/0fA+/fe55sBrlx52/80iP+9+IcZuUQi+QyxlP7luMfr9X4w/J69/IOMXCKR3ArcCpCQkJDd2Nj4fY/5XxZGYwONjQf+qQrK7xuCUikjODjhn9r3j5GtjN6HUglPPPEn5s5diE4X5c+ktFotZrOZOXPmkJys5sCBP1Nb+ymg5r77mvwFLGvWSLj77iKuuqqS/Pzr8WXVwFd4X8Bv8nTsmCjWueyydX4L27S0PM4/fx1WK0RGTuC9935GUdFt+EB+ypSNzJixjqIiAbwq1QjtMTgoqkgbG9M4fHgPzc3h6PXlXHZZFnFxIUgk17Fo0WUMDJzg6NFfIpEEkp39B2699T4CAtpYtkxsD8BujycqyorH009g4DhMJiteb+uXzqIcX/WnLz78UGjEs7LyOPfcdWzfvp6ystWkp+exbNk69u7dwJEjq5gx42WCgmLZvXspqalvc+LEZf7v+OX/L7ywhQ8/jPZn8eJ1yfDPIqZN28jSpWLGMjQELS3w0UdOQO5vQGEwpHyr+7Knp5pTpz7DbO4mLe0SDIaJPyo1+b8W35SR/89RKz7gmTZtHLGxEuLiZvyoBT/AsKOcjZ6ek0RFZf7TN/63nb5+320//PDDVFSUMHmyDq22g2nTkpk9+2zs9vHcfffDgBuVystDD/2RpUsvRy5XYbMZOXhwIwUFT/DBB3+gqOhWfGCTlraXysr5fnDPzd1AY+MC/8JmREQ5XV3pABgMFfT2pqFQGHE4wggLK2fdOtH42WIRC4vt7Qz3sxyhM0AMAitXxmG1dvolinq9qLxUqUQlZnb2Q9xxx91+CmXlSgUyGRw8qKC7O5xnn/091dUPIZVKmTv3LqzWSbz66ks4nXsID29Ao/ESEGAgNfVCTp36FLO5mdZWhptUjBzXSGgB85hj9VEvjz028vv99yv8f5dK3fz+9+GEhS3moYcO0dbWjJhMe5FKPaSlyais9JKQYKKhQU1Y2Al6e9PIyXkFjSaaL744E5DhA/R162R4vWKGIB8eO3fuXE919W0sW7afK654hIiIyaSlXUZUVPo/nC3abEaMxiaqqz8iImIK8fGzTldl/kBxGsj5Mp9s59e/Xv+j88mCzilCLg8gLOz78eI/VvjOl9M5RH9/NxERYeh0Adx//x3ExASwY8cGampq0WgkBAQ4MBiiWbDgdhISZhIZOQWdLooXX1xLcfFG8vPXU1q6Fh+Yy+XluN1paLUnMJvT/CXqozlvGA3MI1nn9OkbOHZsNdOm5eFwiIbGPl58+/b1wxwyzJ37Dpde+gStrQeBkWIfnxoyMPByfve7N1my5Av27JnL+PF5/kzVZoMPP4RLL72cmTN7sFr7sVp7uOyy10hKmofR2MD27XcMzzrMKBR6UlMvpKLiPczmQaRSIYkUEkjYuLF0zEDV3Z02XH0pBqzp0zfS1LSAnp4MZDIbbrcKtboXm03PrFmvcvPNL9DWtp+SEqitXU9FhfiOixdv4/PPLxj+fi7/QHDppQqysx/hrrvuYt++fSxcOA8fr/7AA7Lhs6ult9c83HIPJkwYR1hYOAbDZPT6cTQ3H2TcuDOYOHEZOl3EPwTnnp5q6uv3IpMp6OxUUFraero58r84fhCOXCKRXCyRSFqA2cB2iUSy85/Z3g8dPj45Lk6NySTh6NGTP/oxuFw2ZLL/fBAHX/NmB1OnKlm4UMmCBSrWrMnF5TpCZ2cFUVEp1NWFUFISTF2dFoVCQXHxRt5990bef/82Sktfpa0tmMpKBWecsW5YgSIA2e1O4447FMMgPpJB+zhvn45cpTIyQgsIFYtPhnfs2GqOH189ijuG5cvX8eyzi1m48G0OHryE1167gcBAIQ2UycQ/uRzi489iwYLbeeihO1i8+Druv19BYqKwBVAqhc5aSBpDyM7+Cb29TXg8LlpbRQKi1yexcOHdxMVNB7Q4nUYqKt5ELo+gp0esC2ze7OaJJ9y8/fb6USX1Ej+f3dWVjkTiAaQcPbqWnp6M4XOjAiRYrWHcf7+Cs8++iba2UrZvf44PPhD0lggpe/acxyefvMKDD+r9nHxi4rMcOzber/5YsGABa9ZIkcm8XH99BxddtJVjx4r4/e+NHDr0LLGxkJgYCFgZHOygo6OM+vrPcbs9OByD7Nv3CAUFf6WlpejvFucIieKVdHYq2LDhp39XP346/rXxT3mteL3e94D3/kXH8oPHnDlz2LIlD6NxCJNJzdy5C3/U/dtsRnp7T35vhcqPHXPmzOH555+nstKBXB7JT3/6V2bPnu3XvTc15eN2W+nubiMkJITw8AgiIrJobNxHW1sRTU37cLlC6e11YjRCb+9IaXlGRh5yOUydmsexY2sACV6vjKKitcMZtQA9qzUMqVSoXCQSF7femuVXseTk5PkpmfDwEwCEhEzBbu9h//5LhxcwV7J8+W1+PluEgfHjr2PFihWkpLSRnm5FoRDqk4KC9ZSWimx/3Lg7ufbaa1GrzQQESAkMjOfQoceRyRTMmrWWuLhczj77L3z++YPU1+8FzLhctWg0DJfUizzp+PHVw3RRBmNDMjwTGc11M+bn7dvXDytwBikuvsk/gI1e8Fy+/GqmTRsgK2sdF19chEQymTlzxFrJ+vXr2b59O8uXL8flWgfEANeybZto53bkyAoeeugUPT0nGRioY2CgDYfDhN0+gE4XQ13dbkJDx9HZ6eTgwVtJSJjBxRff/Y2mViqVntLSVurqtERGBtHcbKagoOB0Vv4Dx7+EWvmu8e+iVmw2I7t3v0NpaSPz5p35o95couDoJG63ndjY3P+4BaE9e3Zx8OB+Zs6cycyZ2cjlKlwuG/n5X3D4cD7Z2VlkZ+eOcQR0uWwYjS2oVEGoVEH09p4iP/8JnM4BAgLCsNmMnDr1BSaTWGT8/PP1VFevZupUsZjn9Qqu+oEHhMZ8bIyAW3x8C83NYzXPoaHl9PePpWRuuknBhAnRzJixit//Po39+y8eI0X0RXz8rXR1jWPHjj8yc6YRiQQslmCUygEef3yEp3722Z+wcuVLAOza9TsKCp5CrQ5CowkiOPgcWlvDmTNnDpmZCRQW5nHkyIs4HF1YLLBr1/rhAQrS0jZyxRW+Y1CycWOxn1L56qLll18TEsORwQ0kEhter2rM+yQSF5dfriAtLZvIyEQ6O3vp67Px+eeH6e+Hzk45jz/+OOvWieNYuxY2bfJy1VUtLF9+OzabFXCTkLCAjo4yurpK8HhcSKVyPJ4gjh8vx2IBi0XLxRdfQnx8LOnpV3yt4uq0XPCHix+UI/+u8e8AcrG4WI1en/ijZ8M+hUpYmFjR/08A8dFT5P379/DAA7eh1drwep1MmZJAZuYMQkMVmM19DA01DD/UKsLCJqBQiLJFj8eFw2EmLGw8yclnIpMF4HAM4XCY6OgopbR0O8ePlwBCIaJUigXHkBD8mmahix7hzkWM/BwSUoXROGGUosUXI+AnkbiZPDmPM85Yx+efv8SJE9cBkJu7keXL1/nVIVOn5jFu3DpKS8cTHf0G+flZTJuWx5lnrmPbtpeorLyG8PATdHenkZOTxz33VHDhhYLq6emp5vXXL2dwsBOn005PzwDvv7+JlpYVXHRRJ2+9FUZjYz4ff/wgp07t97eCk0qFxnzv3o0UF99CTk7el2xofTEavL/6/cZ+/9HA7wLkqFS93HFHOEqlWMz1hcsl9OrbtkF6+tns2LHjK/dCT081cnkARmMLtbXb6eo6iVKpQauNpLe3llOnDtHY2InVqmdoyE5u7lTOPPNyhoba0OsTSUlZik4XOea5+iEX4P+X4zSQD9MBPyaI+m7m3NwMUlPD/yUKle97HPn5XzBjxnTmzp2LzWakru5zf/eenTt3kp+/H5lMxuBg33B3Gx3Lly9m6VJRoSmTBWAytXPq1KfY7SNaY4/HQU9PDQ7HEF6vE40mkoAALQkJ88nPL2f37g9JSRFmUiC46h071nP0qA+8R0vkvAi/lFBGAM0z6ufRMfL3X/xChkIBJ0/C+++Pzu5FEc3orH3tWgVFRQYKC9v9mfdNNynYsmUkE1+/fiY9PUeZNOlqrrzyb/49njq1m1277qaz8wivv/4kVVXiO0gkbpqajg43Y4hk585XeOONewkJGUCnE5z8ww/7jsv3vPn+FwuQUqkXjcaKyaRlJCRIJF5mzXqFgwevZ+xgB1/O5h94QHzvoSFhC1BdLZQ5RiN0dY3NyL8pTKYOXC4bJlM3R448g0wWQFeXhV273kCttuN0Klm8+Hri46OQSuUEBUVTUvI5bW0WZs26joULf/g2iP/L8U1A/j/hRy7kUY0/aqdu3/RSKnXwzjtuHn30WeLi/j0gvnLlTYSGmtm9282NN17LlClZJCef4X/gzOZxvPZaOf39/VitErKzo1EqTXR2dtHWdhSbrReVKgyLpROAgAABNnK5ipiY6UyfHoXb7cBk6uTUqd0YjXUUFz8PDDF9Onz22XpOnBAVhcuXrxv2Lh8NQuLn3NwN9PT8nvr6zuGjH52hi8VQHyj7/qZS9fHXvzrR60/Q35/O2IzWp00XXt+ZmXmYzTAwcL/fT8W3uOrTqufk5GEydflVJn/4A5QLlwDGj19CWNibvPXW76iu9vHUXnJyXuLtt/9AUFACM2asJTt7Fh9/vIiCgg9ISxMLrCPh+y5uf3buo38ExSS2mZ4uobLSy/nntzFzZhsKxSccOLBsVLWml9Egrlb3+mc5KSli5nHyJFitGoaGvKxZc8s/BHEYabOm1yeh04X7u/Y4nYN0dPQRHz8BlaqflpZTREZmUVJSzbvv7mBgwMOuXZ9RUnIxq1Y9jEqlPw3oP2L8fw/kPhD/sY2wfAqZ+HgNQ0NGCguPsmTJ8h9t/6OP4/+1d+bhUZVn//+cmUkySSbJkH1PDJAAIWxZgASiIK6AStX6ulSBqoi+aFvrQv21LrV1qfZtVSwoUlxwqahFxQ0UEhZZwpqwBQJZIXsmySSZJDNzfn9MzjDZAwSyPZ/rygUzc+bMfU4y33Of73M/92O1WnB3H0ZhYR0FBV7ceusvWn3JrrxyNm+95cGaNWv4+uuvKSjQoNEM4/e/f4LExBmYzSa7Z+6IyVTNiRMbKC7+npqaYsBCc3MDrq6+ODm5U1NTR1VVLocPn51RaLFA6wxb6QeS2WKxPIRKZcJqdaF1pk6rcj3lvSaTDyBRVRXXZr+yfdq/Ypc4O2uJiIDVq5WBSBnQEBQEZ28QPUhKWmyvMsnKklvtV6+P5L77PuDzz/fz/ffjmDMnl9dei8ZieZtjx75i06Y/YjY3EhlpxWI52588MfFtdu++z74v24UEHnrICZ2utR2ifG5a2hZuvPEU69b9Hk/Pw/aWvMrxabWV9uM3mfTs2bMYWVZz4sQD3HrrEqKjbe1/Dx70wMdHxmgsPqf6bmV+hU4XQGzszZhM1Rw48AGSFIaTkxtlZYc4fXo7stxAbW0zJSXw5pvrCQ8PIyYmxp4sCEG/+Axqa8VRxC/1H5PjgI9KpWblytV94hWe68BTdz0v2r5mMhnsE5wc2bbtR5Yt+x2BgTXs2PE6R48+QELCv8nIWGD3h5U66dY+ObTNxM9y1pbw98+irGwMbm6HqatzzMTPZve2QU53nnuuGqvVNuHn3Xd/wZdfvsDatbYKmraTb9RqK2aziqioEk6d8mfsWMmekXeH0kETQKNxYc+e3WRkpKHTZaJW1yHLFszmJp588hRWq83GefhhJ7uf/uOPr7caL3jmmVk8++z3beroHc/D2eP1988kIiK91YVr3LjlpKQswWqFsLAwYmOvIT7+fjIzj7JnTyYpKVcxY8ZVPTu4FhTr5fjx76mrq+DkySN8/PGHuLlZqauDnBwPRo+eyMMPP4ifn82Ci4qaiU4X2C/GhgY6Q84j78vBTYX+MuDTG3Gkp6fzwAO/wmq14uwML7zwDPHxZ/t6mM2NaDQumEw1ALz77nt8++0XREQ04+5eTUSEDnBh/fpn7GKlUll48cUo6uvzeeYZRy+8o+qN1tP2n37anXfe+TsFBYtQugaefa9sH+gE+Pzz18nMfICgoNV88EEEM2ZcxUMPwZtv2ra9/fZchg2LYsUKK4sWqVi2rONzoAiYWu2MWu3M009H8/HHoSxaJHX6HrC1glDOi9ncyB//eBnvv+/Dtdceo7h4Jl5edURE1BARcXbikCLMjqWYHZ0Lx6oVZSKV44xR23N+eHp64OUVRUFBHrm5x2loUFFS4s2TT77B5MmTz1lolcFyk8nA8uWPsnHjl4BMba0Fi8WLmhpv/vWv14mPjyUvbys6XSAhITb9ERn6+TMkhRwu7eDmQEMR+MmT45k6taNmSzbMZhOvvvon9u37EE9PNRpNDRERvnh7+wAgyzJNTSbUahUNDaaWzNPE55//lcxMmzc+b55NVM/OvFQySVtmbVu3sn0pnouLRFOT3NJw6uzziYnLOqj+ODuAqFJZ+M9/fs1LL80lI+NGxo1bjlb7LDfd9ChPPvkkABqNjMViu6BYLK2M7FYUFu7mzJl9FBRsJzNzLQCS5MQzz5S1ZPEyZnNHA7JdU1i4mz17dvCXv4xh9+6ZSBLcfns+S5fuIi9vG3PnvtJBdQvo9ZkYDDaLSTl/CQnLueGGf2Cx5LF+/ZtkZCwgOfkjrrpqIbYBY2fAiby8WurroaAAvL21JCRMIC4uhujo6wkNTbJXVZ2L2JpMBrZs2cRbbz1HZeVxPDz0ZGfDr361iKVL/4jRWExFxXHM5kaMxmL7Uobiu3nuDKnBzr4Y3BxoOLYr+OqrZu6//xYuuyycnJwc8vNzCQ+PZPjw4TQ11VBTk4en5xHUapmGhmYkyRVPzxHo9T72xYnNZhOy3ISHh0RTkxGr1Uxmpk1oDxx4kMzMB0hK+oCMjLs460+r7F60JMlIkpUxY1QcOSK3ynLVamuL0IOSiWZkPICX12EMBuX9tuxTGfCLj19OVta7ZGSsbInhITw9vXj55Qh7DXVUlJETJ1yJj1/O+vUnmD37H+3O0aZNzwJ7AQNqtTtTpvwvl112OWq1M9nZZ+wZuYKy7/nza3n++VyWLg3m/fd9WLRI4p//NFFcbPNpSkuzSEv7Cx999Di7d8/ENjkIPvwwnLvuep2MjH8yceIIh+oeBRk3t5088cQ33HXXlaSlvURp6QFqak7Q0GDzxH19f8Pbb+9Akk5QURGEu7sPev1wjh//Fk9PW48VNzfIyZG4//57iIsbS0nJAXbuXAbIeHlFMmrUHLugazTaLu/qtFo9V101D41Gx0MP3Ut9fQNBQTKjRrljMhnQaLSEhNgSBWVRcy+vCHx9R9r3L7gwBl1G3pe++EBA8bP//ve/8957/2bUKJmGhlqSk6cSGRnBJ598gkplRaWSmD17Jm5uFmTZjJdXOMXFpykuPo27exOurjIajQvNzfVYrRaamkxoNBrM5iaamppRqzWsW/c8O3f+qqXSQpkiXsH773szfLiJnBxXhg9vICfHlUWLJNLTIStLxttborr6rJiftUGgdQme7WIAMlOn/odrrrkHaGx5zRs/v2RWr77O3hFRksxYrRp7Jq5Wy6xZcydHj35EcvJTXHXV8/bzlJ6ezh/+cAtTppRhtUJMzK2kpt7J6NE3dnpui4sPEho6FovFdkfw5puTefDBHVitNu/9p59e5cCBf1NfX43VakaS1CxdWsjZC5syAWgFGRn3EROznPLyVPvU/bPbmElL295qnOKll+5i69Y0cnL+QW7uPSQkrOYPf9hBeHhKy0XnW/LzD5GVdZCCAicaGy1cfXUSo0ZFEhycQETENDQaFwBqagqpqjpFbe0ZwsOTgGLtVgAAP3FJREFUOXWqlkceeQKzWaa7cRal1DUhYSzR0b4dZuHKuEpOzka7oIsmWz1jSGTktpmGQsQVFHtJqTpRBuPKyg4THl5NQEAjJlMT9fVakpLuJCNjH7W1GsLDrUhSDcXF+0hMvAmrtRGdLgwPjyCGD49lxIjZaLWeaDQumM2NLZ/RaH+s/P/OO0GnK+DRR7149119izD78u9/A7Sshdby77331pCV5QFIVFbaBGvFCplly2xi/uab0HpAE2yTZWz9wktL/0FS0tscOPASBsMh1OpKvv76a2bPtgBqMjJ+TULCcpYt+4Z58/7GZ5/FMG/eMaKiruDo0Y/Q68Nbnbvt27dTWqqlsNCH3FwJf/9JnYq4wZDLvn0fsm/fCiZNepyMjEVcfXU6U6b8lnnzDvPFF7EkJ3/C0aOfEhycRE7Oj3zxxR/b9Ba3HQ9I9kUzbCWOtNpGkszMmLGN1NSz7SW0Wj0zZjzO++8f5dSpewANe/YsoL7+O/bufRudLqxl5atJZGdvZOzYAkaM8CE8fBT+/raB4m++eYkzZ4qJikrguusW4+09HICqqpPs2PEvwsKqkWU/cnMbu5xyn5qaan9N+fvrKAvXavXExMzBbDaRm5tOZGSq/TsrMvRzZ1AJOdga9wzlPwTHChJlQefq6nxcXDxobKwlPDwFnc4fL68wZFni5MlsxoxJxte3nqgoCbPZiX371KhUOu6888/MmDHXfiFQ9n+u2dM779h+OuPIkXW8885clKxTo2nCYlETHl6FRuPbyrpwzMaVFrdubjBsWCkHDhQBd7F//1JGjoRRo+Czz37i5pshNdW2mMLhw3DttUGMHftvUlOf5+RJ24Xo5MkiEh2GCZQ+M3v30uUyZQcOrGH79lcpLT3Ed9+tYM+eu7nllmM89dQZ9u5dzdVX1zF//iQkScPhw8UUFx/i669fZffuRZydEOV4t6HM5jS36iUD2CtxrrnmDaB1nyBl8YUnntjHrl2TmD79C2pr8xg79k68vEJIS1vOtm3bKS93objYg+uu+3/Ex0/g+PFv2bdvPV99tYszZ9xwdz+BJMkEBnoQHp6Mt/dwkpJ+zSef/D+amhppu0ZnVyh/M3p9JFqtvl0Wrgh6ZGQq1dX5VFTYKn6UtWuH8vf4XBk01ooyDT4goG9mT/YVjmV/jhm3Xh+OSuWEj88IzOZG8vO34eyso6GhCrXaiejo6+3nybFG/Oefd7Nz556LWmmj+MgLF9Zz111vsmnT4236rVj55z/H8LvfHbFbIJGRBnJy9Pj7Z/Lgg7Z+5Gdb3NoKrCVJ4sYbT5OePo6goEomToSdO32IikpArd7E2LFNqFSg1V5LWJiZ4uKj/PSTkbg4Az//HMDLL/+n1TF35QubzSbS0l5i167XsFjM6PVJPPzwd8iyGpXKwttvzyQmZh5qtROHD39OWVkWarUzoOKxx06h2CmjRi2zrx3qOKjZUS8ZZQxg9+4HkSSJxYs7rpZRet1XVZ1i//5VqNXuHDlSzvr1+/Hy8uTUqWbuvXcxTz75JCaTgVde+SsffPBRyypTRubPn8+DDy6krOwI+fnbcHcP5MyZJg4fLmfKlJQLmg/R1lYJDLRdpJS/QWX9WrXaxb5IxVD6PnfHoLZWFBHqg2tSn6Acr9LQ32JppKGhkvr6CsLDU2hqqkWlcsJiaeLkyZ/w8RlJdPT19qwI2peAKV+WGTPOvbb4XDAai1mxwh+LRcU777gQEvI4QEtjqLMDe9OmPcGsWRvZsGEGd9xRynPPneTdd68Ezs6cOdu3xCZ2sgxffhnEP/7xDM888wxNTRJWq57Zs2fzz3+eQKM5RWyslcjIaJKSZvKf/9yOyeRKdbUzRqO6nWXgaBM4YjabWL9+CVlZn+Lq6sWwYXN4991PGDPmXxw+/AApKeuZOvV3NDRUsnXri9TXG/D1HUVzs4nS0l0Oe5KZNWsJbm60zHZVUFFZ6eiLy/j4HKapiRY7xnasy5dbWLasdbWN7SLpwj33hPHOO+Pw8xuF0VhGeflzDB9ey+nTFtzc3EhMtAmoVqsnNXUOq1d/TkFBHeDMtGmzWmZ2BhIUNBEAP78sQkNzUKtLMBhy7X8/52phKtvHxMwBbHeNBkMew4fPQqvV27Nxs9lERUU2ZnNjnyzDONAY8EKu1Iv7+sb0WS+Ti0XbjFCp3d2w4WP279/F8OHDuP56W1lfRcVxXF29qasrxcXFo9UXwjGr6avzY1vkOouMjBVMnXot27bdRnz88pZXdfziF38lL+8KSktjAYmEhPlMmbKa9PQ3SEn5DQ89FMzy5fXEx/+rpT5cB9jqpn18sqiosJXjTZ36AfPmTWH8+C9anbvx48ezadOrwJcEBrri6uoDuGIyubBrlxaTybXHlkFa2kscPfpfhg0bQWrqE3z22UpGjqwmKupRgoP/QErKLeTkuHHixLdYrRbGj/8Vhw9/gdF4EoCkpJVkZPya+Pj38PWFG254xN5j3XZ3odTUK1M5VZSXj+WFF5pxdz+M0Wg71sTEVRw44Mb48XfaY1uxwjaQu3q1J0888S3BwRPx9Y3hjjveIiLiRzIyPsff34JWm015+Qi0Wi+7LdP27sOxVa1WqyckJKFVnx5nZzf7ZB9l+56iCHNISCI+PiM7tFZ8fKIpKcmkvDy71RJyg+k73lsMeGtlsNaLt50ZumzZq/j715GbW8UTT7yKSmUmJKSBBx98iqSkaXh5tW4n2l/Oh9FYjNFYyuHDX3Dy5A/U11dRVZWDLbOW8PWdiJOTmqqqQpYuVdb2tCFJZk6e3EFk5DR7pYnNYnDB2dmf//f/Cu0zNufPdyIiwgVXVx/uuOO/hIa2r4svLj7IihVXABLR0Q9QXr6OqKjfkplZ1mMr6cCBNXzzzcPo9cO5+uoXKCray969H7F2bSGVlc6oVCZmzfIkMNDCsGGBjBhxPQcPvk9NTQ4Anp6RxMc/yN69K6muzkarDcFkauC11zZRWRmHi0sFjY22afeKT+541yFJZm64wZmJE12AZvz9J3L77Z/ap9MrttVtt+UzZ85v8fQMZvz4syvdm0wGjMYSysuPUlCwA0lS29vR9tTGcJwMpEz2sa14ZfO9t2/fdc4T0JSxnbbWioKSnQ91y2VQWiuDuV5c6dUSEeHa0qtlA4888ie++eZtzGaZsDBPCgokjh6tY+7c/ncnovj1WVmfUFFxvKV7YhnV1WVAEy4uAYwceS319eU0NdVjMlW0TNU/O1koJeVjtNpxANx5Zynvv+/T0uTKHRcXV667bjvffDOVhITlJCX9gpKSL7FarfYyurbs2bObM2eqaGqC779fydy5bsTHJzJ79rgeHZPBkMuBAx+gVrsyffpjNDUZOXVqI7NmLWXSpADWrPkXZWWfU1NTSVWVipkzb+LQoU9aRFzC338C06cvZffuVVRXZ6PXj0anC6akJJuqKlvLAEXEbc24VjB79hK8vUfx/fczAStxccsxGnU0NDTg6qqmtDSLQ4f+S0rKbwBYtgyWLZOACAoLl5KTs4GMjBVERc1oGegOxNc3Br0+gtDQyRiNpRw58gWurj54e0cRHDyp2wlBjraK8v+iogyys7+hoKCOpUtfoakJVq5c2eNe5IowK/XmirUiy+DrG83hw0VkZGSRlDQJScL+/FAV9LYMWCF3LDUcjL9IpWoiL68BlcqN5OR56HSBpKRczjvvvNviZ7qQknJ5vzp+JeM7fHgdJSUHGTYskuZmM0ZjCdXVpUADYWEzGDPmZoqKdiDLMrW1+YCVuXP/xKJFawkPn8b27a8wY8afCQy09RZ/9VUDsbGTaGg4DQxDpdLw6KNbSExMBZyIiXmG6uqfaWqyWW2Bge3Fee/eQ5jNoNGosFqtNDWZOxX9tmzatIH09KeBw8yY8RQ6XRA7d/6DpKQHKSsbxrZtaWg0BTg7S5SUBFNS0kxU1FrgDOBKYGAsM2Y8x7Fj68nP38ywYbGMHn0TJ058i4uLRELC22Rk3EdwcAmnTweQmPgu11//KAAbNsxAycZTU5eQlubNnj3NhIWZ0GggPf1veHmFMHbsra1iDg1NxNd3JOXlxzly5HOKizMJCYknJCTR7oHbfvzt7QcqK0+iVjsxcuQ1PWp4pbweETENs9nEt9++TEBAHWq1d7elih3haJ8EBIzDbDbx/ffv89prz1FUpOWdd1x4++1/MXVqYiuh12i053UnMFgYsEIOg7vUsDPfsrPn+xqjsZgtWzawa9d/CA52ITz8MmTZSlHRHhoayigrO467uxfx8Y8TEjKRQ4c+wdXVB4Mhj+rqclxcfHB3H8a4cXewf/976HQBREdf47D/MkwmpQ+6hurqGgoLK7BZEFoqK4/g7u6NLFdw9OiXREZOb1cmmZAwkVOnVGRleVNfr0Wn8+3RsaWnp/PYY/eQlHSG2lqJhARvjh79DD+/OE6f1rBo0UJ0ujpGj67g6FEd9fUqxo0zYGtU5kFQUCxXXPFHysqOsW/fKjw8AomPv5fjx7/D2dkdtdqNm256mrff9mTv3tXk529k1KjbOXpUAzSSmvoT6ekziI9fja/vMKZOvYKdO7dz2WWVnD6tJiSkgZ07X0enCyIyclqr2LVaPaGhiej1YRiNpWRmfsSZMwdare6jnKe4uNswm02cPr23paeMk72DYXeZr/L69OnX8v77H7bML+h5qWJX+zx82EBRkZagIA8KCurYuXMPM2ZcZRf6iops9u7dy2OPvYjZLJ/TncBgYUAK+WC2VBzprGqis+cvNWazCZPJgMlUzZdfPs+XX36JwaDB3b2ZpKQxQA2SVIuLSzPh4ZNJTv4tbm6+7N69DA+PUEymasrLc3B11aHXhxIZeQXe3sOpry/D23s0Wq2n/bOMxjMo5Xl5eWUAbNjwPldd5YObmxsGQwEajQ6dTsJoLGvXjRFg6tTpHD8+laioZBIT46ms/KRHGfm2bWl4eppoatJy6JAXGRk7GT/eyoQJC1i9+htUqiZCQ7UcOeLD5Mk3EBx8DCgD9AQFjeCKK/6Is7MH+/f/G43GnYSEByktPYiv7wgKC3+mqiqPCRPuwtXVm9On9yJJPpSU5FNbW4fVCpL0P/zpT95APlptBNdem8KPPx5gxw4JUDNrVjCNjUYOHlyDTufX4ffCMft2tFOUqfg6XaA9u46Kmmn/3Z48+RMWSzPe3sMJCBjbre2SmprKW2+916uJRuu70LMXB0XoAwLGkZn5NTpdI15eXuTlNQy5dUIHlJAr03/HjQvmyitvHrTZeH/HJt4GSksPk5+/Hb0+nKIiP7KzPQgL02A2n+HQoZ0EBNiWOUtJ+R3z5j3WkhF+iMGg5uDB/Tg7H8TDwxdnZy1OTm5ER88hNzed5uYGEhN/bR/AMxqLOX78G2TZQnW1LYa8PCgubqCoyEJIiAmdzg9ZBhcXz84DBwICgrj7blup3/ffr+3R8U6aFM3Bgyb27/ekqckZf/8CJkx4isDAcSQnG1i5ciXZ2U1Yre5ERNTR3LwDUBESMprIyBl4e0fx1Vf/S3V1Ad7el7Np0058fSvR6dQ4OXnh7OxGTMzclhax9ahUfmRl7QdAp4PycgtffZVLaqqZjIxCdLr1LFv2F/btO0VycjIhIc2kpf0Vo7GUQ4c+Iz5+YaeTthRB12o9KS09zLFj66mrK2PMmF+08pwVwR4z5hctg5BZHDmyrtUchM6y9N5ONLq7C9VotEybNovVqz/AYGjgQu8EBiIDRsjb9/ceOaSuuH2NUlVgMhk4fvx7amoKCA9PwWKJ44cfDuHlFYpGIwGVuLo20dzshMHgypEjWiIj/TAYCjh6dB1FRVW8885XREdXAWZiY/VotU6kpDyGTudHTs536PWXtao6MZtN5OcfJS+vDjc3KCmhZcalkaYmqKoCKAG0eHh44O3t0eEx7Ny5k6NHj6DX72T8+NGo1T1LBGJjo0hNTSU2dhxxcWFYLHvQ622LQTuKjItLA1lZf8bDQ6amBoKC/Jkw4Vfk52+ntDQLF5fLWLlyJyNGVNHUpGbWrKk0NJwiJeUJAgJi2bHjNUDFli3VhIbWYTbb1tw0Gq24uemwWg1UV2spLz/JbbdN4JprbrPHaLE0sXXr38jL24KnZxCjR8/rMnNWPHLbWFM+x459RU3NxHaDnY7/hoQktFgZx6moOI6XV/gla03b3cUhNTWVlStX9zvL8VIxYIT87Io77hQU1A25W6e+QpmJV1KSRWVljn0gTKPRsnt3Jg899BQqVRNBQSZuuSUaWTah0bjz6ac5mEwSZrMLo0e7c999tWzY8ByTJm0iPPwDNBoL9fUajEYzI0eOJTh4IiUlhzCZDIwYcX07YTAYygHbepT794PRqCEgwB1JsgK15OYWYrVKmM0akpLaVWeRnp7Ob3/7OKNGlfHRR0u4+uooUlKu6bLdQHp6Olu2fEdgYC5z5/4Znc6PtLS/MmnSvfa7BTgrMs8+OwcvLxmDAZqaXDhzJgizuZFdu5bh6RlMaWk8BsP31NUNQ6erpKysEH9/HyIjp2MwFFBSsh9wp7JSIjTUgkpVh4uLniVLHuadd/6NwVBLfb0Wb++wdrFGRc2gpqaAQ4fWcezYetRqZ6KjZ3cpsEpGHRioR6v1pKLihD3rbru6j2P2rdXq8fEZSUXFcYqKMjAaixk+fFaXWfqloL9Yjn3BgBFypYqjrU8m6H0cs29Hj3T06BtbZWs7d64GmrnsMhXu7kZk2cwttzxBSEgi06fns337dkaPdkeSDvHDDw9itarYs+cKfHycMBrV6PVNeHv7M2nSrwE4dOhTnJ3diY29uV1N/LBhthXdd+xwx2Ry4cEH72L9+vVkZtYyaVItdXVQXx+Eu3sFBoOpnZjYlryzIstaamrKyMsrZ/PmIoKCruzwy6/cAWq1DcTFVREaeiPjx7vg6uqNr++Idtvn5m7F1fUIeXlQVeVGQ4Mz99xzFQcPfkhV1SkSEhYzatTlfPLJ96jVNVRXO+HkZGDy5McJDBxHdva3NDaaWsYOytm/X2LcuAZGjYrhnnsWMGrUCHbtepp5836Li0sep09ntKrY0mi0jBp1A/X1BozG0xQX7wdgzJieWZBKhu446QfocLm2tp66yWSwZ+ne3iNFe9o+YMAIeX+t1hgsKOJtmylr69fSWdWCMuPUzc0ZNzcrFktdSwfFh4iJmYtGoyU5OZCoKFf273+X4ODJzJ69i/XrJzNv3iFuv30pWVlf4efnzrRpdxMYGIfRWExjYy3u7iHodH7t4gsKiqCmJpc5c37BFVfcQmpqKjfffDObN69Flj+httbA6dMWxowBP7/271cSgV27aqisVFNVFUB9varTOzvlDjAw0J2Kijp27dqJRpPFuHF3tMvif/xxPVu3/hGVqo5p0+6noOA4SUkLGD06lHXrniE0NIXERFsW/+qrz7Nr1wpCQ4cDpwgPT8ZkMnD06DpcXLRMnnw3EyfGsm3bBjw8thIcHNlSDXIVzc3pzJx5KwZDAbt3v054eEqrOwOdLpAxY25k//730WjcOHVqE56eEe0qWTqjrTfeE0FXPleZXt9ZH5XuepoLLowBI+QwtG+dLgaOPVscxTs6+nr7l7DtrbmSqapUTfj5NXHHHQk0N0eTnHwlV145m/T0dLZu3ciIERLe3hZ0umCqqk7y2GPl/OY33xMRMZ3c3FpmzLgRk8nWGwbg+PEfqKsrY/r0J1qJkyNeXjpuvfVee414amoq0dF6Pv10I9OmxTJmzASCgs4QEKBv914lEVAWmD59WkNXd3aK8OfmNqLR6ElImIjFcgidzr/d+Vi69F4SE4vJz3flpptqWbToH/j6RrN58/M0NlaTkGAbuDWZDHh713DNNbdz5MhnjB59G3p9BMXFmZw69SMeHmHExFyHr28Mo0cHsGNHJQ0NNfbfU2NjfUv3ST+aWq/WbMfXN4axY3/J4cOf4+4eSFbWx2g0LvaZnT1FEe22gt7ZQKfjY8c+KkqWnpNTw+LFS7BaLUOyPPBiM6CEXHDutM2COmpzq3icnYm3I2fHKtyorW3CbB7DH//4sv2z7r13Pn5+tfj6NvKLX/yK0FBwdvaiubmO6OjZVFfnolK5Uld3mokTF6DXR2Iw5HLq1Cbc3X0JCIjt8HNLS4uprCxnz57drWZi7tmzm8rKUnx9Q7jvvvns2vUv2i6NpqAkAj3JDB3vABMT4/D0LESnm9Lu3GzdupHg4BpARVWVK4WFReh0/qxb90+yslbg75/IZZfZWs4ajSXU1p7Byysci6XRvrRaY2MNGo0LHh4haLVeGI3FZGZ+hL//WGRZtjc7c3Pztoull1eofR3QtgQGjsNsbmy5G4onJ+cHqqtz7XdL54KjoHc00NmRJ+7YRyUgwPY3tWbNH9Dr6/Hw0A/J8sCLjRDyQYxjpc/q1ctZtmwZw4d7Ullp+yJqNC7nXHXQdsZpauoc+2s2kTfj66ulttZCXl4xSUlXU1qa1SIEjZw6lUZk5OUUFzfYs1vbQhRatFqvDj8zLW09aWk/o9c38MUXT+PhMdIuyE899TRJSRXs27edqKgDqNVqXFy69md7emenbGcyGdi7dzVhYVPa7Xf8+Aiys81kZnrh6iqRlHQvK1euJC3tj/j5wVdf7Sc29iBJSePIydmIThfEoUP/YfToW+2W0pEjX+DhEYWXV7B9v/X15TQ2Gpky5X/RavUYjcU4ObljMlWj10cQFjaZzMyP0On8OxywVap+cnM34eMTTXl5Nj4+rZtPnQuO1SvKQKfSF6Wz/uGOzyUnz+Pdd7+jsnJolgdebFTdbyIYqCjZc2SkCyEhtfz885cEBsYxZswviIiYRkhIYo+mYTuiZKr33ruYlStXtxLE5ORkNBqJysoGJElNbGwSFRXHiImZi1brSU7OD0RGXk5FRTZjx/4SnS6wxR/+EhcXdyZNal//bDQWk5HxIbm5OsxmD5qalOOy/dvUBGazG2q1lYyMfbi46GluNnY4Ieh8MZkM1NeXt3vebDbh728hMXEaV155E3fcMQeNRscbb7yE1Qo5OVBWZmH79u2YTAZqa8+g0/nT1FRHRESKQ7vWHFQqiItr7b+bzSb7xU2r1RMWNoWcnI2YzSZCQhK7PcbQ0ERGjLiWiopsfHyiOXbsK44f/87e9Op8UAY6HbPtkpJMiop22yucOoprxoyrWLlyNffeu1jYKhcBkZEPYlr7vB6kpNzSK/W+nWW048aF89RTt3LixAnGjUvF27uBESPm4usbzalTm/DxGUltbRH+/rH2znZKT3VXV992y62BTTgiIkZQU5NJSUkdTU1u9mwuOTmZ9977F9XVYDI5kZAwkebmPbi4DOu1igmb0J4gPDy5g5LIPI4dW8fMmQ9TV1dCZOTlvPXWGsLDZcrKbKsRqdVmJk+Op6LiBEFB4zlz5gAjRlyLr+9IgJZZqEbc3SPR61uXFapUZ7+eGo2WoKAJPP64H99+68XChU788pfuGI2lXZZQ+vpGU1Fhy8hLS2XS0t4nNvYYs2cvuqC/BccmV0rXQiVDh46zdDHGdfG4ICGXJOlvwFxsPUlzgAWyLBt6IS5BL3ApK32MxmJOnvyJxMSZXH75bZSWZuLqGoWvr01ETp/eS1DQJBoaDIwePcGejRYXH8Bqbe7UVjGbTVgstQDU1GiwWM4u+5aamsrrr7/J1q2vEhzsTWJiEllZ+UiS1OG+zgel331sbPsyPqOxDBcXL5yddZw5sw+t1ov4+Fh++klLaakrarWVZ555hsTEOI4cWYeXVzi5uWnMmvUCWq0ek8lATs4GnJw88fYe0Wbw0KWdRaTRaPnmmylYrRKrVrnx3HO/5MiRLzq1V5T3xMTMJTd3De+++3tKS51IS0tHpXJCp7uMPXuOXdDfRkddCxVRd2xFKxaGuLhcaEa+AVgqy7JZkqSXgKXAExcelqC3uBRZkMlkoKQkCy+vcLy8wsjP34ZOF0h4eDIGQx4nTnxHUNAkzpzZy5gxv7BXpZjNJqqqTqHTBREb2/FMRI1GS2GhAXDBxSUCtbp1R72UlBTU6gOoVBo0GhckSaK+vrTXrBXFEmmLwZBLRsZbhIUlU1WVw7hxt6PRaPH2NrB48WNkZzeRknI5yclJ9lp8o/FMy93ICPvxV1fn4+8/mtDQxFY14S4ueszmunbHcd112/j222ncc091Sw9xt27vPjQaLZmZZeTnuxITA8eOwcaNGzl6dDdFRdpeqSJxjL2tqDuuACRqyy8OF+SRy7L8gyzL5paHO4DQCw9JMJAwGospKsqgujofL68wqqsL8PIKJzw8uWVq/TZGjLgWtdqJoKCJrRYLMBpLWkrqGrr8gkdFjQTU5Oa276hnNpswGk/j52cbxFOrnXB19esVwejMVklPT+e11/5OcfFpAgMnIMsyOl2AXXSvueYeli79o71KqLq6gNDQyRQV7WX48CsdJtJUU11dQFNTHf7+Y+y11q+88ldyc4+j0bi3y8ifeGIneXl7uOuu1zAY8mlsrO6R552cnEx9vRuZmWrq690wm/2oq1MREuIONNvHHXoDx3r0kJBEhg+fRXV1PsXFB7v00QXnT2965AuBTzp7UZKk+4H7AcLD23uhgoGHwZBLXt5WTp4sJSurkLFjDURE6O21xvn527FYmgGors5vteCz0VjMunXPUlhYSlLSPZ1aA2aziVGjxrBs2dXs3p3ZzgYwGktpbKzGz280Go0Wi6UZJye3Xjk+s9lEZWWOfUYr2ET8/vvvJiLCgFoNgYGbmThxCtu2bWP79s8ZOzaWiRP19n2YTAbUaicaG2uorj6Fj8/9dlupqCgDs7kOrdYLrVZvL9/U6+txd7dw550wZYqpVTwmUwVarScajRs6nT/h4cmUlR1pWaWn60odR5sNYNOmLZSXX9wqEsdZoI7rcDqu9KNsJzh/uhVySZI2Ah19y56SZXldyzZPAWZgTWf7kWX5LeAtsC31dl7RCvoNiogXFzuxdOlreHqa+PprFc8/vwydLpDy8mM0NFQSFjaVgoKf8fIKa5XV/vzzz3z66bdYrTIffXQCd/eIDleqLynJwtt7OBMnTmu3ervJZCA/fwt6/XB7RlxfX0ZkZO8utuG4L1vmamHYMCeOHtVw6FAGXl6xLFnyW0JCavnoo434+CTYyxZPnvyJ4OAEjh//jtDQZPuArrIwSnDwFPtFzNZGwIKHh54zZ4wUFdW2y8jd3AJajr0CAH//MezZs5KgoIldDnpCe5vtUjaZcmw5C3Qq6kLQz49urRVZlmfJsjy2gx9FxO8B5gB3yn2xAKjgkqOIuKurN3v3ZmM2y3h46Kmq0rBnzzHKy49x9Oi6lvJGT9RqJ3tXPbB9iXfs+Jrqaidk2RezWe7w1l7JiJU+2B3R1FTfaqBUls0EBU3oNUHw9h7eal/u7u4YjbWUljYAaqKjR7F79z7MZhlJ8mlVHmkbqLXdkZSWZjJq1Fz7xcxoLKG0NAtv7yj78dmyYify8hqwWjUtllJrXF29MJsb8fCwuZharR53964FvDNSU1N58sknL2kliaPtEhAwjpCQxJbKmmy79bJp0wZefPFF0tPTL1lcA50L8sglSboW2+DmDbIs1/dOSIL+ii2LzKWwcBcREdOIippJSsrlnBUfZ+LjYygq2s2oUTei1XqRl7e11Urryn6iovRUV7ty6lQzXd3aWyzNXYqySuWEl1cIGo0Wk6mahgZDrx1rUVEGjgtPpKen8/rr/4evr4qqKit33JHKddc9wLRpswCnVh6+492E2dyIu3uAwwQoE1VVJ3F29qSxsdou5I41+suWLWPkyNZCrtXqiYqaSUHBz+j1YZSUZAHg5zeKkpKsAec7txV1X99oNmz4mCeemM+qVW+ycOFCIeY95EI98jcAF2BDS8nXDlmWH7jgqAT9DpPJYG9ZGhExzV554ui9Tp4cT3i4BHig0wVQVJRhX8ig7b5Gj47l9ddnduh7O6JWO3UbW3V1ESaTgaqqk/j4jOqVUreO/HHF+vDx8aeoqA6TyQmdLpDU1Mh2ZZ4mk4Hq6nyCgxPYv/89QkMnt4rLYmkiMnIadXXlHdZam0wG9u8/1S4urVaPxdKMr+8oTp3aTEhIAgEBYzlyZJ19yvxARBH1rKwyDAY1ISE60a76HLggIZdluX0/T8Ggw1ZemIlG48Lw4bPaCbMiPorlMnz4rJZFmM/2qXbc18mTPxEVNRO9PrKd7+2IRqPFyyusU3GyvR5CbW2Jvd67twY6HT9DwbE9gVYrERMThtlssmfTbQXHy8vmh9fUnCEwcJx9X7ZzsImQkAScnFw7/FyTyYCzc+fHotG42G0bR8tqoNPZsm6CrhEzOwVdoog42GbrdZbtGo3F5OVtJSLC1jJV+X9b0VfEpidZs1K6p4hlR6/X11ei0/mj0WiRJA16fUCvlR76+Y1ply2vWrWKrVs3Mny4lWuuubfD41BsmYMHD3Lw4C5CQuRWPv6WLRvYvftHamrcmTNnSbt9OF7senKebPXrwykpyRrwtdqiXfX5IYRc0CHKwhIGQz7QtYgrCwsoZWadWSpK97zo6PYrAHUWQ1fWikaj5dSp0xw58i3JyU4EBwdQX1/ZqfD3FNuMy43t7ibAJjTKJJ+uSiZ37drICy+sISjIyJkzOqKjs0lNDWTTpg08//xjBARUs2PHm/j5JXd4V2KxNHd7jtRqp5Z+LPpBYa8oiKn8545omiVoh8lkIC9vKzk5G9Hrw+3NtTrbVsnYldVljMbiDitNFMHvidD0RPTT0n7k7beXsWHDNh555Dfs37+jVavX8+Xnn3ezbt0Gdu/O7PB1k8lAQ0Nll1bGiROlWK1WAgKkVlU5O3bswGq1Ul/vT3OzbR3RtnRnKSnbKFm4cuE6ceIUr7zyVzFAOAQRQi5ohdFYTHl5dis/vDNBUSwEwN4JrytLReljfS5C3tW2u3btpb5eQqsdhtksc+LEaXtGfr6kp6ezePF9pKV9zeLF97UTRSUuZcp5WzZt2sArrzyOm5sHVquGnBw1ZrOz3etNSpqEm5vM6dPNGI2uTJ06vd0+0tJ+5OOP3yEt7ccOY1SrnVpqssdSXZ3fcgdwkL/85UN++ukd7r//biHmQwxhrQiAs1ZKbm46kZGp3XqtysLEI0aomD37bM9sL6+ILiyHxh7f+iszArvaNilpEhs3QmFhAyqVmhEjgtHpLswj3759u70m3GxubFc1kZb2I9u2rSIlZWE7SyQ9PZ1FixYxbFgdtbVafv3rm2hoaCAl5Vb7PiZPjufBB3/PoUO7mDr1LmbMuKrdPhYvXoK3dx0ffLCPlSs9Wn2+RqPFz2+M3VJRzpHS0lenc8dqtYpqjyGGEHJBq6qUyMjUbmcIKlPJPT0bqK93prQ0gOrqAmJi3Ljuugc6FFLFcukpth4qxV363ZMnx/Pww3/i8GEDxcXFrFu3kTNnTPzmN9f2+HPa4tj6t23VRHciqyys4e+vpbraSn29kccee7XVIsU5ORu58srbiIuLIypqZrvPV0oc3d2HUV7efiUdjUaLr+9IcnI2EhExzT4YrMR99GgTVquzqPYYYghrZYijWCkAPj7R3Yo4nBUbLy8vamoa+etf/8SPP67i2WdXsXdvdrvtu7MjOqK7jPysKN6KTqdn5crl5OYe5F//epM333yzR5/REY6Tctp2BHQUWavV0m42anJyMlarM8eOyahUKqKjg9od04kTRSxb9hZ79qR3aAE5zu7srPxOq9Xj6uptbxJmNpvscS9c+KBYuGEIIjLyIYzRWNxjK8URx3rqhoZmXF1dUKs9MZnaWxFwVsgVH70nOA4odhSXYzOm9evXo1JZ8fCQyM6W+eabH3j44d/1+LPa0lnVhONxdySyiphu25bG2LF+zJhxU6sL16ZN3/Lmm69QUuKMTicTGHhlO2ulJ+V3SllmeHgy0dHXU1FxHK1WL6o9hjBCyIcgShtRo7GkR1ZKWxzFxt3dnX/+858dWhFw1ksfOzaIceN6dqFQ+nR3l8Er0+dnz57Njz/+yK5dZkwmDbNndz7J6ELoicgq5Yl5eVtbxW4bkNxASYkzkZHOnDhhZufOPe2EXNlHTwVZo9HaL5IDvexQcP4IIR9iOPrhPj7R5z2d3VFsxo8f36G4KS1fg4KMrFnjzrBh43ssUGZzY7exmc2NACxZsgSA9evXM3v2bPvji0FPRFa5ELW9mxg7djRNTd+RnW3GanU5bx9bKT1U9t3doLBg8COEfIigZOGOfnhvLb/VmbgpFSBqtTdNTR3bLp3H29jN663FcsmSJRdVwM8Vb++R7cR17NjRrFixgp079/TarMWeDAoLBj9CyIcARmMxBkM+ksQl7fvcVQVIV3SW0TpimzTTs5r0S4nSZzswsLXVoVTtTJ06p0M75Vw/w/H8eHu3b3crGFoIIR/knO+AZm9wPn0z0tPT2bYtjVGj3Lv11B1bzPYnzObGVue5p55/T3EUb41GS2BgHCUlmYSEJPa7C5vg0iCEfJByoQOavcW5DNylp6ezcOFCVKom9HoLen3cBWevl5rOZpX2xPPvKW3FGxADnkMcUUc+yFBmaBYXH6SiIhu9vvOZlv0NW112MyEhOgwGNTt37ul0W1tDrf6VkSurxl8qKiqO2+2V/mgzCS4dQsgHEY4C7usbTUDAuF7LAi8FymSYgoK6LmcnKj604+K9/Ym2mfHFuOi0Fe/+ajMJLg3CWhkEKDaKwZA3oBexPRdPva0P3R9QBNsxrk2bNrB9+xdMmTKb0NDei3fLli1s2/YpKSky06dPt39+fzsngkuD1BfrJSckJMgZGRmX/HMHG44lhZLUuyWF/ZlNmza0iNit/cZDt9kqB1v9DpSeNMOG1VFV5c7Klat7peRQ2a9eX4/B4MaKFSuIirIJuBjwHNxIkrRHluWEts8La2WAMtBtlPNF6TD45ZdfsmjRon7VrrXtXYJjEy0wt+vNcr4oPV88PPRYrRZ27txzTu0PBIMPIeQDjLMr9+S1EvChkoW1FbHeEseLgWMTrd7sSNhRY62h8vsXdIzwyAcQJpNhyNkobemucVVfkJ6eztatG4mLC7aXA8LFW3+yo/0OhoWXBeeP8MgHAI6DmXp9xIAdzOwt0tPT+83ivI692Y1GF956670+icm2WtNu4ZEPcjrzyEVG3s8RWXh7+lO7Vsfe7AZD+4UgLiVqtYuoXBmiCI+8n9KZFy7oX/RkIYhLgW3loGhKSjKFzTIEERl5P0Rk4QOHi+WDny9iqv7QRAh5P8ExixroE3uGGv3F6hFT9YcuQsj7AY4ZeEDAOHx9Y8SXUXBeuLh4Cp98CCI88j5CycDb+uAiCxecL4pPXlGRLXzyIYbIyC8hStlcYmIcsbGh6PUR9pJC4YMLegONRksfVBQL+pgLEnJJkv4M3AhYgVJgvizLp3sjsMGGY6/ttWutvPTSCq68cjy+viIDF/QeSlYu/qaGFhdqrfxNluVxsixPAL4G/nThIQ1OHHtt19So2L3b1rdafOEEvYnS4ldYK0OLCxJyWZZrHB66A+KmrhN62mtbILhQulu4WjD4uGCPXJKkvwB3A9XAjC62ux+4HyA8PPxCP3bA0d/qjQWDFzHDc+jRba8VSZI2Ah2tFfaULMvrHLZbCmhlWX66uw8VvVYEgouHyWSgoiLbXgUlGDycd68VWZZn9fAzPgTWA90KuUAguHhoNFphrwwxLsgjlyRppMPDG4CjFxaOQCAQCM6VC/XIX5QkKQZb+WEe8MCFhyQQCC4U4ZMPLS5IyGVZvrm3AhEIBL2DUktumzEs5ikMBcTMToFgEKLV6tHrxTyFoYLotSIQDELExKChhRBygWCQIipXhg5CyAUCgWCAI4RcIBikqNUufR2C4BIhhFwgGIRoNFoCA8f1dRiCS4QQcoFgEFNSclAMeA4BhJALBIMYMeA5NBBCLhAMYoRPPjQQQi4QDFLEakFDByHkAsEgxWw2YTDkYTIZ+joUwUVGCLlAMEjRaLT2Bb7FgOfgRvRaEQgGMaLnytBAZOQCwSBG9FwZGgghFwgGOd2s5igYBAghFwgGMaJyZWgghFwgGMSIypWhQb8Z7GxubqawsBCTSXh5gxGtVktoaChOTk59HcqQwrFyRawWNHjpN0JeWFiIh4cHkZGRSJLU1+EIehFZlqmoqKCwsJDLLrusr8MZcojKlcFPv7FWTCYTPj4+QsQHIZIk4ePjI+62+ghRuTL46TdCDggRH8SI323fIipXBjf9Ssj7GrVazYQJExg7diy33nor9fX1HW6XnJx8iSM7f+bPn8/atWsveD///e9/ee655wA4duwYV1xxBRMmTGD06NHcf//9AGRmZjJ//vwL/ixB7yJ6kw9+hJA74Orqyv79+8nKysLZ2Znly5e3et1isQCwffv2Hu9Tec9A5+WXX+bBBx8E4OGHH+a3v/0t+/fv58iRIyxZsgSAuLg4CgsLyc/P78tQBZ1QXn5M2CuDFCHknTB9+nROnDjB5s2bmTFjBnfccQdxcXEA6HQ6wDaI99hjjzF27Fji4uL45JNPADp8j4LFYmH+/Pn29/zf//0fAG+//TaJiYmMHz+em2++2X43MH/+fBYvXsyMGTOIiooiLS2NhQsXMnr06FbZr06n49FHH2XSpElceeWVlJWVtTumPXv2cPnllxMfH88111zDmTNn2m0zYcIE+4+rqytpaWlkZ2fj4uKCr68vAGfOnCE0NNT+HsdjnDt3Lh9//PE5n2/BxUWpXhEDnoMUWZYv+U98fLzclsOHD7d7rjvS0tLkF154QU5LSzvn93aEu7u7LMuy3NzcLN9www3ym2++KW/atEl2c3OTT5482W67tWvXyrNmzZLNZrNcXFwsh4WFyadPn+7wPQoZGRnyrFmz7I+rqqpkWZbl8vJy+3NPPfWU/Nprr8myLMv33HOPfNttt8lWq1X+73//K3t4eMgHDx6ULRaLPGnSJHnfvn2yLMsyIH/wwQeyLMvys88+Kz/00EP293/66adyU1OTPHXqVLm0tFSWZVn++OOP5QULFnR6Lr788kt52rRpclNTk7xq1Sr5d7/7nf21VatWyZ6envK1114r//3vf7cfgyzL8tatW+U5c+Z0uM/z+R0Leofm5ga5sHCn3Nzc0NehCC4AIEPuQFMHbEaenp7OwoULWbFiBQsXLiQ9Pf2C99nQ0MCECRNISEggPDycX//61wAkJSV1WDa3detWbr/9dtRqNQEBAVx++eXs3r27y/dERUVx8uRJlixZwnfffYenpycAWVlZTJ8+nbi4ONasWcOhQ4fs75k7dy6SJBEXF0dAQABxcXGoVCpiY2PJzc0FQKVScdtttwFw1113sXXr1lafe+zYMbKysrjqqquYMGECzz//PIWFhR2eh+PHj/PYY4/xySef4OTkxJkzZ/Dz87O/vmDBAo4cOcKtt97K5s2bmTJlCo2NtpVo/P39OX36dI/Ot+DSIgY8By/9po78XNm+fTsWiwUfHx8qKirYvn07qampF7RPxSNvi7u7e4fby118Mzp7z7Bhwzhw4ADff/89y5Yt4z//+Q+rVq1i/vz5/Pe//2X8+PGsXr2azZs329/j4mJb5UWlUtn/rzw2m80dfk7bKhFZlomNjeXnn3/uNGaAuro6fvnLX/L2228THBwM2M5LdXV1q+2Cg4NZuHAhCxcuZOzYsWRlZREfH4/JZMLV1bXLzxBcesRU/cHNgM3Ik5OTUavVVFRUoFar+6SSJDU1lU8++QSLxUJZWRnp6ekkJSV1+Z7y8nKsVis333wzf/7zn9m7dy8AtbW1BAUF0dzczJo1a845FqvVaq9O+fDDD5k2bVqr12NiYigrK7MLeXNzc6usX2HBggUsWLCA6dOn258bPXo0J06csD/+7rvvaG5uBqC4uJiKigpCQkIAyM7OZuzYseccv+DiokzVF4Odg5MBm5GnpqayatUqtm/fTnJy8gVn4+fDvHnz+Pnnnxk/fjySJPHyyy8TGBjI0aNHO31PUVERCxYswGq1AvDCCy8A8Oc//5nJkycTERFBXFwctbW15xSLu7s7hw4dIj4+Hi8vL/vAq4KzszNr167l4Ycfprq6GrPZzG9+8xtiY2Pt2+Tl5bF27Vqys7NZtWoVACtXriQ1NZVHH30UWZaRJIkffviBRx55BK3Wlt397W9/IzAwEIBNmzYxe/bsc4pdcPGxZeQxfR2G4CIhdWUP9HgnkvR74G+AnyzL5d1tn5CQIGdkZLR67siRI4wePfqCYxmq6HQ6jEbjRdv/I488wty5c5k1a1an2zQ2NnL55ZezdetWNJr2OYL4HfctZrOJ8vJj+PrGCItlgCJJ0h5ZlhPaPn/B1ookSWHAVYAoHh7E/OEPf+h0gpRCfn4+L774YociLuh7RAni4KU3PPL/Ax4HxJh4H3Ixs3GAgIAAbrjhhi63GTlyJFdcccVFjUNw/oieK4OXCxJySZJuAIpkWT7QS/EIBIKLiChBHJx0ew8sSdJGILCDl54C/gBc3ZMPkiTpfuB+gPDw8HMIUSAQ9Aai58rgpVshl2W5w9EtSZLigMuAAy01y6HAXkmSkmRZLu5gP28Bb4FtsPNCghYIBOePGPAcfJz3qJQsy5mAv/JYkqRcIKEnVSsCgaBvEAOeg5MBOyHoYqC0sVV+cnNz2bx5M3PmzOnr0ASCXkFMDBqc9FqdmCzLkb21r76ioyn6Si8TgWAwIDLywYnIyM+ByspKbrrpJsaNG8eUKVM4ePAgYGvjajAYkGUZHx8f3nvvPQB+9atfsXHjxr4MWSBohcjIBydCyB1Quh9OmDCBefPmtXv96aefZuLEiRw8eJC//vWv3H333QCkpKSwbds2Dh06RFRUFFu2bAFgx44dTJky5ZIeg0DQFWKq/uBkwE/BM5tNvXab2Fn3Q4WtW7fy2WefATBz5kwqKiqorq5m+vTppKenExERweLFi3nrrbcoKirC29vbvgiFQNCfEJUrg4sBnZErvSMu1W1iR31pJEkiNTWVLVu2sGXLFq644gr8/PxYu3Ztqw6CAkF/Qfjkg48BLeTKbeKl+oNMTU21t5jdvHkzvr6+eHp6EhYWRnl5OcePHycqKopp06bxyiuvCCEX9EuETz74GPDWyqXMKp555hkWLFjAuHHjcHNz491337W/NnnyZPtCy9OnT2fp0qXteoILBP0BkZEPPnqlje25ItrYDk3E77h/INrZDlwuWhtbgUAwsBCVK4MPIeQCwRDlUhYKCC4uQsgFgiGI8MkHF0LIBYIhiKhcGVwIIRcIhiCXunRXcHERQi4QCAQDHCHkAsEQ5FLPihZcXISQd4Esy8ycOZOamhoAvvvuO2JiYhgxYgQvvviifbvf//73/PTTT30VpkBwzogSxMGFEPIu+Oabbxg/fjyenp5YLBYeeughvv32Ww4fPsxHH33E4cOHAViyZEkrYRcIBgJbtmzh5ZcfZ9OmDX0diuACGfBT9HuL5cuXs3z5cgCqq6uJjIwkKCiI+++/H4Bdu3YxYsQIoqKiAPif//kf1q1bx5gxY4iIiKCiooLi4mICAztap1og6F+kp6dz332LUamaWLXqG1atWkVqampfhyU4TwZ0Rv7QQ6DR2P69UB544AH279/P7t27CQ0N5Xe/+x3btm0jPj4egKKiIsLCwuzbh4aGUlRUZH88adIktm3bduGBCASXgO3btwPNhITogOaWx4KByoAW8hUrwGKx/dtbPPLII8ycOZO5c+dSWVmJh4cH0HkLWwV/f39Onz7de4EIBBeR5ORkwImCgjrAqeWxYKAyoK2VRYtsIr5oUe/sb/Xq1eTl5fHGG28AoNFosFqtqFQqQkNDKSgosG9bWFhIcHCw/bHJZMLV1bV3AhEILjKpqamsWrWK7du3k5ycLGyVAc6AFvJly2w/vcGePXt45ZVX2LJlCyqV7UYlJiaGkydPMmLECBITEzl+/DinTp0iJCSEjz/+mA8//ND+/uzsbG699dbeCUYguASkpqYKAR8kDGgh703eeOMNKisrmTFjBgAJCQnMnj2bzZs3M2LECDQaDW+88QbXXHMNFouFhQsXEhsbC0BzczMnTpwgIaFdd0mBQCC46Aghb+Hf//53u+fOnDnD3Xffzb333gvA9ddfz/XXX99uu6+//ppbbrkFjUacToFAcOkZ0IOdF5ugoCDuu+8++4SgzjCbzTz66KOXKCqBQCBojUghu+GXv/xlt9sIb1wgEPQl/Soj74tl5wSXBvG7FQguHv1GyLVaLRUVFeILPwiRZZmKigq0WtEyVSC4GPQbayU0NJTCwkLKysr6OhTBRUCr1RIaGtrXYQgEg5J+I+ROTk5cdtllfR2GQCAQDDj6jbUiEAgEgvNDCLlAIBAMcISQCwQCwQBH6osqEUmSyoC8S/7BXeMLlPd1EOfAQIsXBl7MIt6Lz0CLua/jjZBl2a/tk30i5P0RSZIyZFkeMM1SBlq8MPBiFvFefAZazP01XmGtCAQCwQBHCLlAIBAMcISQn+Wtvg7gHBlo8cLAi1nEe/EZaDH3y3iFRy4QCAQDHJGRCwQCwQBHCLkDkiT9WZKkg5Ik7Zck6QdJkoK7f1ffIUnS3yRJOtoS8xeSJOn7OqaukCTpVkmSDkmSZJUkqd+N/CtIknStJEnHJEk6IUnSk30dT3dIkrRKkqRSSZKy+jqWniBJUpgkSZskSTrS8vfwSF/H1B2SJGklSdolSdKBlpif7euYHBHWigOSJHnKslzT8v+HgTGyLD/Qx2F1iiRJVwM/ybJsliTpJQBZlp/o47A6RZKk0YAVWAH8XpbljD4OqR2SJKmBbOAqoBDYDdwuy/LhPg2sCyRJSgWMwHuyLI/t63i6Q5KkICBIluW9kiR5AHuAm/r5OZYAd1mWjZIkOQFbgUdkWd7Rx6EBIiNvhSLiLbgD/foqJ8vyD7Ism1se7gD6dXtBWZaPyLJ8rK/j6IYk4IQsyydlWW4CPgZu7OOYukSW5XSgsq/j6CmyLJ+RZXlvy/9rgSNASN9G1TWyDWPLQ6eWn36jD0LI2yBJ0l8kSSoA7gT+1NfxnAMLgW/7OohBQAhQ4PC4kH4uMgMZSZIigYnAzj4OpVskSVJLkrQfKAU2yLLcb2IeckIuSdJGSZKyOvi5EUCW5adkWQ4D1gD/27fRdh9vyzZPAWZsMfcpPYm3nyN18Fy/ybwGE5Ik6YDPgN+0uRvul8iybJFleQK2O98kSZL6jY3Vb/qRXypkWZ7Vw00/BNYDT1/EcLqlu3glSboHmANcKfeDAY9zOL/9lUIgzOFxKHC6j2IZtLT4zJ8Ba2RZ/ryv4zkXZFk2SJK0GbgW6BcDzEMuI+8KSZJGOjy8ATjaV7H0BEmSrgWeAG6QZbm+r+MZJOwGRkqSdJkkSc7A/wBf9nFMg4qWgcN3gCOyLP+9r+PpCZIk+SlVYZIkuQKz6Ef6IKpWHJAk6TMgBltlRR7wgCzLRX0bVedIknQCcAEqWp7a0c+rbOYBrwN+gAHYL8vyNX0aVAdIknQ98A9ADaySZfkvfRtR10iS9BFwBbbOfCXA07Isv9OnQXWBJEnTgC1AJrbvGsAfZFn+pu+i6hpJksYB72L7m1AB/5Fl+bm+jeosQsgFAoFggCOsFYFAIBjgCCEXCASCAY4QcoFAIBjgCCEXCASCAY4QcoFAIBjgCCEXCASCAY4QcoFAIBjgCCEXCASCAc7/B5Jurc3MzF/wAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "n = 2000\n",
    "plt.figure(figsize=(6,6))\n",
    "plt.scatter(sample[:n,0], sample[:n,1], s=10, alpha=0.8, c='black')\n",
    "plt.scatter(traj[:,:n,0], traj[:,:n,1], s=0.2, alpha=0.2, c='olive')\n",
    "plt.scatter(traj[-1,:n,0], traj[-1,:n,1], s=4, alpha=1, c='blue')\n",
    "plt.legend(['Prior sample z(S)', 'Flow', 'z(0)'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Great! You've seen how to train vanilla continuous normalizing flows in `torchdyn`. Next, we'll look at the *Free-form Jacobian of Reversible Dynamics* (FFJORD) variant proposed in [Grathwohl et al., 2018](https://arxiv.org/pdf/1810.01367.pdf)."
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
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    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
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  "latex_envs": {
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   "bibliofile": "biblio.bib",
   "cite_by": "apalike",
   "current_citInitial": 1,
   "eqLabelWithNumbers": true,
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   "hotkeys": {
    "equation": "Ctrl-E",
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   "user_envs_cfg": false
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 "nbformat": 4,
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}
